研究生: |
洪慈攸 Hung, Tzu-Yu |
---|---|
論文名稱: |
以運算思維Comput-up線上互動桌遊探討數學自我效能、利他行為對心流體驗、計算認知負荷與數學策略應用對遊戲表現之相關 The Prediction of Mathematical Self-efficacy, Altruistic Behavior to Players' Flow Experience, Computational Cognitive Load and Strategy Application on Performance: An Analysis of Online Board Game with Computational Thinking |
指導教授: |
洪榮昭
Hong, Jon-Chao |
口試委員: |
張明文
Chang, Ming-Wen 佘永吉 Sher, Yung-Ji 戴凱欣 Tai, Kai-Hsin 洪榮昭 Hong, Jon-Chao |
口試日期: | 2023/06/27 |
學位類別: |
碩士 Master |
系所名稱: |
創造力發展碩士在職專班 Continuing Education Master's Program of Creativity Development |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 171 |
中文關鍵詞: | 運算思維Comput-up線上互動桌遊 、數學自我效能 、心流體驗 、利他行為 、計算認知負荷 、數學策略應用 |
英文關鍵詞: | Board games, Computational thinking, Mathematical self-efficacy, Flow experience, Altruistic behavior, Cognitive load, Strategic thinking |
研究方法: | 準實驗設計法 、 實驗教學 、 問卷調查 |
DOI URL: | http://doi.org/10.6345/NTNU202300649 |
論文種類: | 學術論文 |
相關次數: | 點閱:195 下載:23 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
面對劇變的世代,教學方式也持續演變當中,然近年來應用遊戲教學的內容越來越多,但如何在遊戲中確保學生是否進行有效學習,便是現場教學者所面臨的一大課題。本研究非隨機立意取樣,以新北市某國小之六年級學童為研究對象,旨在探討使用「運算思維Comput-up線上互動桌遊」,在「數學自我效能」、「利他行為」、「心流體驗」、「計算認知負荷」、「數學策略應用」與「遊戲表現」之影響。研究內容以驅動理論以及多媒體認知情意學習理論作為探討根據,透過運算思維Comput-up線上互動桌遊作為研究工具,以新北在地文化作為學習內容,遊戲過程中以Comput-up策略歷程表記錄學生的策略選擇,並以問卷方式對學生共計178名進行研究調查。參與者在參與40分鐘的遊戲體驗之後,進行填答問卷,用以探討學生於數學自我效能、利他行為、心流體驗、計算認知負荷的差異性,經一階驗證性因素分析,刪除無效問卷,最後保留150份有效問卷進行分析。研究藉由AMOS 20結構方程式進行分析,研究結果顯示:(1)數學自我效能與心流體驗呈正相關;(2)數學自我效能與計算認知負荷呈負相關;(3)利他行為與計算認知負荷呈負相關;(4)利他行為與心流體驗呈正相關;(5)心流體驗與數學策略應用無顯著相關;(6)計算認知負荷與數學策略應用呈負相關;(7)數學策略應用與遊戲表現呈正相關。根據本研究結果發現,透過合作競爭的模式,運算思維Comput-up線上互動桌遊能有助於培養學生利他行為,亦能有效提升學生的學習意願,促進學生策略思考的能力。
In the face of an era of dramatic changes, teaching methods are continuously evolving, and in recent years, the use of game-based instruction has become increasingly popular. However, ensuring effective learning within games poses a significant challenge for educators. This study focuses on sixth-grade students from a primary school in New Taipei City and aims to explore the impact of using "Comput-up Online Interactive Board Games for Computational Thinking" on "mathematical self-efficacy," "altruistic behavior," "flow experience," "computational cognitive load," "metacognition of mathematical strategy application," and "game performance." Drawing on the principles of self-determination theory and multimedia cognitive-affective learning theory, this research utilizes Comput-up Online Interactive Board Games as a research tool and incorporates local cultural content from New Taipei City into the learning materials. The game process records students' strategy choices through the Comput-up strategy log, and a questionnaire survey is conducted with a total of 178 students. After participating in a 40-minute game experience, the participants complete the questionnaire to explore the differences in students' mathematical self-efficacy, altruistic behavior, flow experience, and computational cognitive load. After conducting a first-order confirmatory factor analysis and eliminating invalid questionnaires, 150 valid questionnaires are retained for analysis. The research employs AMOS 20 structural equation modeling for analysis, and the results reveal the following: (1) mathematical self-efficacy is positively related to flow experience; (2) mathematical self-efficacy is negatively related to computational cognitive load; (3) altruistic behavior is negatively related to computational cognitive load; (4) altruistic behavior is positively related to flow experience; (5) there is no significant correlation between flow experience and mathematical strategy application; (6) computational cognitive load is negatively related to mathematical strategy application; (7) mathematical strategy application is positively related to game performance. Based on the findings of this study, it is discovered that through a cooperative competition mode, Comput-up Online Interactive Board Games can contribute to the cultivation of students' prosocial behavior, effectively enhance students' willingness to learn, and promote their strategic thinking abilities.
王宣晴(2022)。桌上遊戲融入特殊需求領域課程提升自閉症學童社會技巧之行動研究(未出版碩士論文)。國立臺中教育大學。
王庭宏(2014)。數位遊戲式英語學習環境中性別差異與英語學習成就對利他行為的影響(未出版碩士論文)。國立中央大學。
王茜榆(2022)。以認知負荷的觀點探討教材複雜度對合作學習的影響(未出版碩士論文)。國立臺中教育大學。
王健華、陳宥瑄、高郁凱(2021)。文化探索適地性遊戲路徑對心流經驗與遊戲效果影響之研究。中華印刷科技年報,403-415。
吳子毓(2020)。教材設計對國小學童英語學習成效與認知負荷之影響(未出版碩士論文)。中原大學。https://doi.org/10.6840/cycu202000082
吳木崑(2009)。杜威經驗哲學對課程與教學之啟示。臺北市立教育大學學報─教育類,40(1),35-54。https://doi.org/10.6336/JUTe/2009.40(1)2
吳金聰(2006)。認知負荷理論及其在資源班教學上的應用:以國語和數學為例。教育研究,14,179-190。
吳金聰、梁淑坤(2008)。遠哲西子灣數學教師成長工作坊成果分享:認知負荷理論在數學教學上的應用。數學教學,26,11-27。
吳清山(2014)。遊戲導向學習。教育研究月刊,245,163-164。 https://doi.org/10.3966/168063602014090245010
吳淑婷(2017)。以認知負荷的觀點來探討性別與教學設計對正整數除法的影響(未出版碩士論文)。國立臺中教育大學。
吳麗珠、闕雅文(2013)。國小學童利他行為研究─具學習效果之蜈蚣賽局經濟實驗。國際文化研究,9(2),1-27。
呂文惠(2020)。參與國中數學科補救教學學生數學學習自我效能感之探究。台灣教育研究期刊,1(6),127-155。
呂文惠、林明群(2013)。國中生學習風格、數學自我效能感與其數學學習成就關係之探索。國民教育學報,10,21-40。
沈杰(2022)。桌上遊戲融入社會技巧課程對提升國小智能障礙學生社會技巧之行動研究(未出版碩士論文)。國立臺中教育大學。
李佩真、朱蕙君(2019)。探討臺灣高中、高職學生對於行動學習的社會影響、知識分享與科技接受度之影響模式分析。國立臺灣科技大學人文社會學報,15(1),57-80。
李承祐(2022)。線上版大富翁桌遊編輯器設計與應用於教育領域之探討。(未出版碩士論文)。國立臺灣大學。https://doi.org/10.6342/NTU202200219
李欣雨(2020)。應用OTouch進行注音符號學習時遊戲興趣、遊戲焦慮與心流體驗(未出版之碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202001333
李茂能(2006)。結構方程模式軟體 Amos 之簡介及其在測驗編製上之應用。心理圖書出版股份有限公司。
李雅雯、陳佩玉、閔農毅(2015)。以遊戲結合類化策略提升國小自閉症個案社會互動技能之研究。特教論壇,19,56-68。 https://doi.org/10.6502/SEF.2015.19.56-68
李煒(2012)。碩士研究生網絡利他行為的量表適用性及其與道德判斷間關係(未出版碩士論文)。華東師範大學。
李耀全、丁學勤(2018)。感恩與互惠規範知覺促進利他行為之研究。教育行政論壇,10(1),75-98。
卓建維(2016)。父母影響學習歷程及自我效能與學生情境興趣關係之研究-以國小高年級數學領域為例(未出版之碩士論文)。國立彰化師範大學。
周孜靜(2021)。在COVID-19下舞蹈補習班學生之線上學習舞蹈自我效能對其興趣、焦慮、心智投入、學習舞蹈自信心及持續意圖之相關研究(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202100744
林文鶯、侯傑泰(1995)。結構方程分析─模式之等同及修正。教育學報,23,149-163。
林佳璉、戴凱欣(2022)。科技資訊融入英語課程對學生自我效能與學習興趣之 相關研究:以認知負荷為調節變項。Workshop Proceedings of the 26th Global Chinese Conference on Computers in Education (GCCCE 2022)。迎接「元宇宙」的世代如何融入新科技於教學工作坊。
林宛柔(2021)。數位遊戲應用於英語詞彙學習之範域文獻回顧(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202100288
林琨越、陳俊智、林秋斌(2019)。以 E-game 平台進行運算思維教學─對國小五年級學生學習成效與態度影響。TANET2019臺灣網際網路研討會, 974-979。 https://doi.org/10.6924/TANET.201909.0176
林逸涵、蔡碩穎(2011)。淺談心流經驗及其與過度激動特質、創造力之關係。特教論壇, 12, 13-34。 https://doi.org/10.6502/SEF.2012.12.13-34
邱皓政(2013)。量化研究與統計分析:SPSS (PASW)資料分析範例解析。五南圖書出版股份有限公司。
邱皓政、林碧芳(2017)。統計學:原理與應用(三版)。五南圖書出版股份有限公司。
施翊祥(2020)。使用即時回饋系統輔助學習之學習投入及學習滿意度相關性因素研究(未出版碩士論文)。國立臺灣師範大學。
洪家萱(2022)。以認知負荷的觀點探討情境佈題對異分母分數加法學習之影響(未出版碩士論文)。國立臺中教育大學。
洪暉鈞、楊叔卿(2014)。手持載具之英文字版連線遊戲系統設計以增強國民小學英文字彙學習投入與成效之研究。數位學習科技期刊,6(2),1-24。
洪榮昭(1998)。電腦遊戲策略性思考學習之研究(NSC87-2511-S003-043)。行政院國家科學委員會。
洪榮昭(2005)。遊戲的教育意義。國民教育,45(3),9-16。
洪榮昭、王志美、葉貞妮、吳鳳姝(2020)。遊戲自我效能、遊戲興趣、認知負荷與地理桌遊的遊玩自信心提升之相關研究。教育科學研究期刊,65(3),225-250。https://doi.org/10.6209/JORIES.202009_65(3).0008
洪榮昭、陳美蓮、葉建宏、陳柏熹(2022)。青少年創意自我效能、競賽投入與參加競賽的價值之關係-以IEYI世界青少年創客發明展選拔賽為例。教育心理學報,51(3),457-81。https://doi.org/10.6251/BEP.202003_51(3).0006
洪榮昭、程景琳(2006)。數位化遊戲導向學習之研究─遊戲內容設計與認知負荷對玩興與策略思考影響之研究(NSC95-2511-S003-022)。 行政院國家科學委員會。
洪碧霞、蕭嘉偉、楊佩馨(2008)。從認知負荷觀點分析國小二至四年級數與計算成就測驗。教育研究與發展期刊,4(4),151-168。
苗桂蓉、郭靜姿(2009)。國小舞蹈班學生即興創作課程心流經驗之調查研究。資優教育研究, 9(1), 1-24。https://doi.org/10.7089/JGE.200906.0001
郎亞琴、陳彩卿(2008)。國民中學學生之性別, 性別角色, 數學自我效能與數學成就之研究─以彰化縣國民中學三年級學生為例。立德學報,6(1),44-58。 https://doi.org/10.7080/JLU.200812.0044
宮秀麗(2016)。青少年利他行為的環境影響因素分析。青少年學刊,3,21-25。
徐揚智(2020)。應用數位遊戲式學習於國小六年級數學低成就學生數學課後複習學習成效之研究—以PaGamO數位遊戲式平台為例(未出版碩士論文)。國立清華大學。
馬嫚娸(2022)。合作學習對學生學習成效影響之後設分析(未出版碩士論文)。國立台中教育大學。
高家斌、蘇玲慧(2014)。國中學生協同學習、學習策略與 數學自我效能關係之研究。教育理論與實踐學刊,30,25-55。https://doi.org/10.7038/JETP.201412_(30).0002
高翠鴻(2015)。學會利他:由兒童利他發展談道德教育之應用。新竹縣教育研究集刊,16,57-74。
張乃月(2019)。網路性愛參與者心流體驗與涉入程度之研究(未出版碩士論文)。樹德科技大學。
張宇樑(2011)。國小五年級學生數學自我效能感之調查研究。科學教育學刊, 19(6), 507-530。https://doi.org/10.6173/CJSE.2011.1906.02
張偉豪(2011)。SEM 論文不求人。三星統計。
張偉豪、鄭時宜(2012)。與結構方程模型共舞:曙光初現。前程文化事業股份有限公司。
張基成、顏萬軒、林冠佑(2021)。不同媒體豐富性學習方式對心流及內在、外在與增生認知負荷之影響-遊戲式學習對非遊戲式學習。工程、技術與STEM教育研討會,194-204。
張智欣(2021)。以認知負荷的觀點探討分組方式對合作學習的影響(未出版碩士論文)。國立臺中教育大學。
張慧雯(2017)。國小四、六年級學生自我效能與數理閱讀理解之關係(未出版碩士論文)。國立屏東大學。
張鴻毅(2010)。在部落格合作競爭學習中,學習者學習焦慮、學習動機對學習成就影響之研究─以自我效能為調節變項(未出版碩士論文)。國立臺灣師範大學。
教育部(2018)。十二年國民基本教育課程綱要國民中小學暨普通型高級中等學校─數學領域。取自https://cirn.moe.edu.tw/WebContent/index.aspx?sid=11&mid=6353
曹亞璇(2018)。為什麼願意在遊戲內知識分享?─探討 MMORPG 玩家遊戲內知識分享之意圖(未出版碩士論文)。國立中央大學。
梁晴瀅、林耀南、許雅晴(2021)。恆毅力、自我效能、工作敬業心、心流及個人創新行為關聯性之研究。創造學刊,12(1),56-81。
莊詒婷(2022)。以認知負荷的觀點探討不同教材形式對兩步驟問題的影響(未出版碩士論文)。國立臺中教育大學。
許言、陳江杰、顧超、吳偉隆(2021)。擴增實境應用在基本設計教學之心流體驗探討。設計學報,26(2),43-66。
許晁睿(2020)。遊戲式學習推薦系統對運算思維學習成效之影響(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202001358
許舒婷(2022)。探討學生暗黑人格、出題興趣、遊戲興趣、心流體驗、學習價值及學習成效之相關—以HOLIYO密室逃脫遊戲融入國中歷史教學為例(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202201091
許雯慧(2021)。Comput-up遊戲對於學習者的人機失敗歸因、心流經驗與持續意圖之相關:以國中國語文教材為例(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202100740
許瑋芷、陳明溥(2010)。數學表徵及數學自我效能對國小學生樣 式推理學習成效之影響。數位學習科技期刊,2(3),42-60。
許睿恩、劉曼麗(2020)。應用認知負荷理論於資訊融入教學之探析:以國小四年級等值分數為例。科學教育,6,72-98。
郭秀緞(2005)。以認知負荷的觀點探討數學問題設計的適切性。教育研究,13,169-182。
郭雪貞、蔡忠賢(2008)。數學自我效能之研究─以技術學院新生爲例。國立臺中技術學院學報,9(1),61-71。https://doi.org/10.29427/JNTIT.200801_11.0005
陳均齊(2021)。在運算思維遊戲“Comput-Up”的利他行為、心流、遊戲焦慮、學習價值、持續玩的意圖之相關研究(未出版之碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202101508
陳志恆、林清文(2008)。國中學生自我調整學習策略量表之編製及效度研究。輔導與諮商學報,30(2),1-36。https://doi.org/10.7040/JGC.200811.0001
陳育賢、周保男(2019)。國小五年級學童運算思維能力分析之研究─以某挑戰競賽為例(口頭報告)。2019第八屆工程,、技術與科技教育學術研討會,彰化縣,台灣。https://doi.org/10.6571/SCETE.201905.0017
陳奐伶(2021)。大學生YouTube使用動機、自尊與網絡利他行為之相關研究(未出版碩士論文)。國立暨南國際大學。https://doi.org/10.6837/ncnu202100105
陳奕璇(2017)。檢視悅趣化學習的實踐:以遊戲式電子繪本為例。臺灣教育評論月刊,6(9),311-313。
陳密桃(2003)。認知負荷理論及其對教學的啟示。教育學刊,21,25-91。
陳媜君(2022)。情境反思導向書法技能學習成效之研究(未出版碩士論文)。國立臺中教育大學。
陳新豐(2016)。國小高年級學童線上數位閱讀認知負荷量表編製。教育研究與發展期刊,12(4),1-22。
陳寬裕、王正華(2010)。結構方程模型分析實務:AMOS 的運用。五南圖書出版股份有限公司。
陳耀茂(2021)。入門結構方程模式:Amos應用。五南圖書出版股份有限公司。
陳鶴元、黃詩麗、黃永銘(2022)。STEAM融入學習運算思維之自我效能研究(口頭發表)。2022第十一屆工程、技術與STEM教育研討會,屏東縣,台灣。
曾品翔、張基成(2022)。鷹架理論及自我效能對於國小學童遊戲設計學習成效之影響(口頭發表)。2022第十一屆工程、技術與STEM教育研討會,屏東縣,台灣。
曾鈺琪(2020)。高中教師氣候變遷教學經驗及合理性覺知對教學興趣之影響:兼論自我效能之中介效果。環境教育研究,16(2),47-82。https://doi.org/10.6555/JEER.16.2.047
黃芳銘(2007)。結構方程模式理論與應用(五版)。五南圖書出版股份有限公司。
黃柏翰(2012)。由演化倫理學的觀點論道德根源問題(未出版碩士論文)。國立中央大學。
黃超賢(2020)。腦波應用於內在認知負荷之探究:以數學代數一元一次方程式與二元一次聯立方程式唯一解運算為例(未出版碩士論文)。國立清華大學。
楊立萱(2021)。國小學童創意自我效能與創造力之相關研究—以學習心流經驗及幸福感為中介變項(未出版碩士論文)。國立臺灣師範大學https://doi.org/10.6345/NTNU202100155
楊振玄(2020)。桌上遊戲融入高中生英語字彙學習的學習成效與心流經驗之研究(未出版碩士論文)。淡江大學。
楊斯定(2019)。鷹架數位遊戲式學習對不同認知風格學習者學習情緒、認知負荷與學習成效之影響研究(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/THE.NTNU.DTAHRD.001.2019.F06
詹勳鴻、高仕轅、潘星瑜、張暐承(2022)。電子遊戲大逃殺續玩意願之研究─心流的中介影響與情緒的調節。管理資訊計算,11(1),95-112。 https://doi.org/10.6285/MIC.202203_11(1).0008
詹勳鴻、楊舜安、張峻瑋、馬浩瀚(2021)。遊戲動機、心流經驗、情緒與持續遊玩意願之研究─以電子射擊遊戲為例。觀光與休閒管理期刊,9(2),81-96。https://doi.org/10.6510/JTLM.202112_9(2).0007
鄔珮甄(2021)。運算思維自我效能量表編製與信效度驗證(未出版碩士論文)。國立臺中教育大學。
廖育汝(2021)。遊戲融入教學對國小數學學習興趣與成效之研究—國小一年級幾何課程(未出版碩士論文)。國立臺中教育大學。
趙驛、龔心怡(2021)。國中教師人格特質對教學效能影響之研究:以工作壓力為中間變項。師資培育與教師專業發展期刊,14(2),27-55。 https://doi.org/10.3966/207136492021081402002
劉信宏、袁雅姿、周保男、石居儒(2022)。PaGamO 遊戲平台融入國小數學課程之實驗研究(口頭報告)。工程、技術與 STEM 教育研討會,屏東縣,台灣。
蔣璧如(2021)。運用數學遊戲於國小智能障礙學生學習加法成效之探究(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202100678
鄭涵之(2022)。基於動態評量之數位遊戲式學習對於學童音樂欣賞教學學習成效之影響(未出版碩士論文)。國立臺中教育大學。
盧瑞珍(2013)。合作學習對學生學習成效影響之後設分析─以2005至2012年之學位論文與期刊為範圍(未出版碩士論文)。國立臺灣師範大學。
賴英娟(2010)。教師支持、數學自我效能及數學興趣對職業意向之影響。中華輔導與諮商學報,(28),1-27。 https://doi.org/10.7082/CJGC.201009.0001
賴英娟、巫博瀚(2022)。國中生所知覺到的教師自主支持,自我效能,任務價值對學習投入之影響。教育心理學報,53(3),543-564。https://doi.org/10.6251/BEP.202203_53(3).0002
謝佳穎、王智弘、倪芳瑜(2008)。身心障礙者就業訓練歷程中工作自我效能之初探。網路社會學通訊,74。取自:http://www.nhu.edu.tw/~society/e-j/74/74-13.htm
鍾秀敏(2017)。以認知負荷的觀點來探討先備知識與教學設計對因數概念學習的影響(未出版碩士論文)。國立臺中教育大學。
羅旭君(2017)。應用眼動追蹤技術探討多媒體呈現方式對國小高年級數學科認知負荷與學習策略之探究─以展開圖為例(未出版碩士論文)。國立清華大學。
羅婉綸(2021)。運用多媒體認知情意學習理論比較SHAKING-ON、KAHOOT學習的成效(未出版碩士論文)。國立臺灣師範大學。https://doi.org/10.6345/NTNU202100672
羅新興、梁成明(2017)。正向思考對主觀幸福感和人際公民行為的影響─利他價值觀的調節效果。健行學報,36(4),23-42。
譚華德、洪榮昭、葉貞妮、吳鳳姝(2020)。體感式遊戲應用於泰文句法學習:泰文學習態度、語言焦慮、遊戲心流、測驗焦慮、句法自信心提升之關係 教育科學研究期刊, 66(3), 213-246。 https://doi.org/10.6209/JORIES.202109_66(3).0007
龔心怡(2008)。影響數學學習成就相關因素之探究:數學自我概念與數學自我效能。研究與創新,9,6-7。https://doi.org/10.29603/ZHWHGX.200809.0003
Abduljabbar, S. (2023). The Relationships Between Flow, Mathematics Self-Efficacy, and Mathematics Anxiety Among International Undergraduate Students in the United States (Doctoral dissertation, Andrews University). Andrews University ProQuest Dissertations Publishing. https://www.proquest.com/openview/91b6b1306b73f2951e4b348392b7935b/1?pq-origsite=gscholar&cbl=18750&diss=y
Abdulrahim, N. A., & Orosco, M. J. (2020). Culturally responsive mathematics teaching: A research synthesis. The Urban Review, 52(1), 1–25. https://doi.org/10.1007/ s11256-019-00509-2
Ainley, J & Luntley, M. (2005). What teachers know: The knowledge base of classroom practice.In M. Bosch(Ed.), Proceedings of the Fourth Congress of the European Societyfor Research in Mathematics Education (pp. 1410-1419).
Anderson, S. W., Damasio, H., Jones, R. D., & Tranel, D. (1991). Wisconsin Card Sorting Test performance as a measure of frontal lobe damage. Journal of Clinical and Experimental Neuropsychology, 13(6), 909-922. https://doi.org/10.1080/01688639108405107
Anjum, R. (2006). The impact of self-efficacy on mathematics achievement of primary school children. Pakistan Journal of Psychological Research, 21(3), 61-78.
Arbuckle, J. (2003). AMOS 5.0 update to the AMOS user’s guide.IL: Small Waters Corporation.
Ashkenazi, S., & Cohen, N. (2021). Developmental trajectories of strategy use in children with mathematical anxiety. Acta Psychologica, 215, 103293. https://doi.org/10.1016/j.actpsy.2021.103293
Ashkenazi, S., & Danan, Y. (2017). The role of mathematical anxiety and working memory on the performance of different types of arithmetic tasks. Trends in Neuroscience and Education, 7, 1-10. https://doi.org/10.1016/j.tine.2017.05.001
Aslan, S., & Balci, O. (2015). GAMED: digital educational game development methodology. Simulation, 91, 307–319. https://doi.org/10.1177/ 0037549715572673.
Awang, Z. (2015). SEM made simple, a gentle approach to learning structural equation modeling. MPWS Rich.
Bagozzi, R. P., & Yi, Y. (1990). Assessing method variance in multitrait-multimethodmatrices: The case of self-reported affect and perceptions at work. Journal of Applied Psychology, 75(5), 547-560. https://doi.org/10.1037/0021-9010.75.5.547
Bandura, A . (1977a). Social learning theory. Prentice Hall .
Bandura, A. (1977b). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84(2), 191-215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (1982). Self-efficacy mechanism in human agency. America Psychologist, 37(2), 122-147. https://doi.org/10.1037/0003-066X.37.2.122
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of personality and social psychology, 41(3), 586. https://doi.org/10.1037/0022-3514.41.3.586
Bang, M., Faber, L., Gurneau, J., Marin, A., & Soto, C. (2015). Community-based design research: Learning across generations and strategic transformations of institutional relations toward axiological innovations. Mind, Cultural, and Activity, 23(1), 28–41. https://doi.org/10.1080/10749039.2015.1087572
Batson, C. D., Duncan, B. D., Ackerman, P., Buckley, T., & Birch, K. (1981). Is empathic emotion a source of altruistic motivation? Journal of Personality and Social Psychology, 40(2), 290. https://doi.org/10.1037/0022-3514.40.2.290
Belgrave, A. B., Bermudez, V. N., Chew, P., Lin, Y., Ahn, J., & Bustamante, A. S. (2022). Using a participatory design approach for co-creating culturally situated STEM enrichment activities. Journal of Applied Developmental Psychology, 82, 101451. https://doi.org/10.1016/j.appdev.2022.101451
Bentler, P. M. (1983). Comfirmatory factor analysis via noniterative estimation: A fast, inexpensive method. Journal of Marketing Research, 19, 417-424. https://doi.org/10.2307/3151715
Bernstein, A. L. (1964). Motivations in mathematics. School Science and Mathematics, 64(9), 749-754. https://doi.org/10.1111/j.1949-8594.1964.tb17054.x
Bollen, K. A. (1989). Structure equations with latent variables. John Wiley.
Bonn, I. (2005). Improving strategic thinking: A multilevel approach. Leadership and Organization Development Journal, 26(5), 336–354. https://doi.org/10.1108/01437730510607844
Bossert, S. T. (1989). Cooperative activities in the classroom. Review of Research in Education, 15, 225–250. https://doi.org/10.2307/1167365
Bouchard Jr., T. J. (2016). Experience producing drive theory: Personality “writ large”. Personality and Individual Differences, 90, 302-314. https://doi.org/10.1016/j.paid.2015.11.007
Br¨unken, R., Seufert, T., and Paas, P. (2010). Measuring cognitive load. In J. L. Plass, R. Moreno, and R. Brünken (Eds.), Cognitive Load Theory (pp. 181–202). Cambridge University Press. https://doi.org/10.1017/CBO9780511844744.011
Brunken, R., Plass, J. L., & Leutner, D. (2003). Direct measurement of cognitive load in 105 multimedia learning. Educational Psychology, 38(1) , 53-61. https://doi.org/10.1207/S15326985EP3801_7
Brandenburger, A.M., & Nalebuff, B. J. (1996). Co-opetition. Doubleday.
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge.
Camerer, C. F., & Ho, T. H. (2015). Behavioral game theory experiments and modeling. Handbook of Game Theory with Economic Applications, 4, 517-573. https://doi.org/10.1016/B978-0-444-53766-9.00010-0
Cañas, J. J., Fajardo, I., & Salmeron, L. (2006). Cognitive flexibility. International Encyclopedia of Ergonomics and Human Factors, 1, 297– 301. https://doi.org/10.13140/2.1.4439.6326
Chan, J. Y. C., Ottmar, E. R., & Lee, J. E. (2022). Slow down to speed up: Longer pause time before solving problems relates to higher strategy efficiency. Learning and Individual Differences, 93, 102-109. https://doi.org/10.1016/j.lindif.2021.102109
Chan, K., Wan, K., & King, V. (2021). Performance over enjoyment? Effect of game-based learning on learning outcome and flow experience. Frontiers in Education, 6, 1-10. https://doi.org/10.3389/feduc.2021.660376
Charness, G. (2004). Attribution and reciprocity in an experimental labor market. Journal of Labor Economics, 22(3), 665-688. https://doi.org/10.1086/383111
Chen, B., Hwang, G. H., & Wang, S. H. (2021). Gender differences in cognitive load when applying game-based learning with intelligent robots. Educational Technology & Society, 24(3), 102-115.
Chen, H. (2006).Flow on the net-detecting Web users’ positive affects and their flow states. Computers in Human Behavior, 22(2), 221-233. https://doi.org/10.1016/j.chb.2004.07.001
Chen, H., Wigand, R. T., & Nilan, M. S. (1999). Optimal experience of Web activities. Computers in Human Behavior, 15, 585-608. https://doi.org/10.1016/S0747-5632(99)00038-2
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, Inc.
Cor, M. K. (2016). Trust me, it is valid: Research validity in pharmacy education research. Currents in Pharmacy Teaching and Learning, 8(3), 391-400.
Crawford, V. P., Costa-Gomes, M. A., & Iriberri, N. (2010). Strategic thinking. Levine’s Working Paper Archive.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-Bass.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. Basic Books.
De Jong, T. (2010). Cognitive load theory, educational research, and instructional design: Some food for thought. Instructional science, 38(2), 105-134. https://doi.org/10.1007/s11251-009-9110-0
Dewey, J. (1944). Democracy and education. The Free Press.
Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 61, 101859. https://doi.org/10.1016/j.cedpsych.2020.101859
Engestrom, Y. (1987). Learning by expanding. An activity-theoretical approach to developmental research. Orienta-Konsultit.
Engestrom, Y., & Sannino, A. (2010). Studies of expansive learning: Foundations, € findings and future challenges. Educational Research Review, 5(1), 1e24. https://doi.org/10.1016/j.edurev.2009.12.002
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Forsyth, D.R. (1980). A Taxonomy of Ethical Ideologies. Journal of Personality and Social Psychology, 39, 175-184. https://doi.org/ 10.1037/0022-3514.39.1.175
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: Acomparison of four procedures. Internet Research, 29(3), 430-447. https://doi.org/10.1108/IntR12-2017-0515
Fryer, L. K., & Ainley, M. (2019). Supporting interest in a study domain: A longitudinal test of the interplay between interest, utility-value, and competence beliefs. Learning and Instruction, 60, 252–262. https://doi.org/10.1016/j.learninstruc.2017.11.002
Gilligan, C. (1982). In a different voice: Psychological theory and women's development. Harvard University Press.
Google (2015). Exploring Computational Thinking. Retrieved from:https://edu.google.com/resources/programs/exploring-computational-thinking/
Gong, Z., Chen, Y., & Wang, Y. (2019). The influence of emotional intelligence on job burnout and job performance: Mediating effect of psychological capital. Fronters in Psychology, 10, 2707. https://doi.org/10.3389/fpsyg.2019.02707
Graetz, F. (2002). Strategic thinking versus strategic planning: towards understanding the complementarities. Management Decision, 40(5), 456-462. https://doi.org/10.1108/00251740210430434
Green, S. B., & Salkind, N. (2004). Using SPSS for windows and macintosh: Analyzing and understanding data (4th ed.). Prentice-Hall.
Green, V. A., & Rechis, R. (2006). Children's cooperative and competitive interactions in limited resource situations: A literature review. Journal of Applied Developmental Psychology, 27(1), 42-59. https://doi.org/10.1016/j.appdev.2005.12.002
Hafiza Razami, H., & Ibrahim, R. (2022). Models and constructs to predict students’ digital educational games acceptance: A systematic literature review. Telematics and Informatics, 73, 101874. https://doi.org/10.1016/j.tele.2022.101874
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the academy of marketing science, 45(5), 616-632. https://doi.org/10.1007/s11747-017-0517-x
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., & Tatham, R. L. (2019). Multivariate data analysis (8th ed.). Cengage.
Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2019b)."When to use and how to report the results of PLS-SEM".European Business Review, 31(1), 2-24.
Hwang, M. Y., Hong, J. C., Liu, L. C., & Chang, W. Y. (2011). Gender difference in social behavior change on a coop-competition game. In 19th International Conference on Computers in Education, ICCE 2011 (pp. 161-179).
Herrmann, N. (1981). The creative brain. Training and Development Journal, 35(10), 10-16.
Hirumi, A. (2002). The design and sequencing of E-learning interactions: A grounded approach. International Journal on E-learning, 1, 19-27.
Hoffman, M. L. (1977). Empathy, its development and prosocial implications. Paper presented at the Nebraska Symposium on Motivation.
Hoffman, M. L. (1981). Is altruism part of human nature? Journal of Personality and Social Psychology, 40, 121-137. https://doi.org/10.1037/0022-3514.40.1.121
Hoffman, M. L. (1982). 11 the measurement of empathy. Paper presented at the Measuring emotions in infants and children: based on seminars sponsored by the 61 Committee on Social and Affective Development During Childhood of the Social Science Research Council.
Hogle, J. G. (1996). Considering games as cognitive tools: In search of effective "edutainment". University of Georgia.
Hong, J. C. & Chan, C. H. (2018). Game performance in covariation reasoning: The correlates between gameplay self-efficacy, and metacognition reflected gameplay anxiety and gameplay interest. Journal of Research in Education Sciences, 63(3), 131–162. https://doi.org/10.6209/JORIES.201809_63(3).000
Hong, J. C., Hwang, M. Y., & Peng, Y. C. (2012). Gender difference of social behavior in the cooperative-competitive game. Procedia-Social and Behavioral Sciences, 64, 244-254. https://doi.org/10.1016/j.sbspro.2012.11.029
Hong, J. C., Hwang, M. Y., & Tai, K. S. (in press). Gestalt perception: A game designed to explore players' gameplay self-efficacy and anxiety reflected in their learning effects. Journal of Research on Technology in Education,https://doi.org/10.1080/15391523.2021.1967819
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. H. (2015). Self-efficacy relevant to competitive anxiety and gameplay interest in the one-on-one competition setting. Educational Technology Research and Development, 63, 791–807. https://doi.org/10.1007/s11423-015-9389-2
Hong, J. C., Hwang, M. Y., Tsai, C. R., Tai, K. H., & Wu, Y. F. (2020). The effect of social dilemma on flow experience: Prosociality relevant to collective efficacy and goal achievement motivation. International Journal of Science and Mathematics Education, 18, 239-258. https://doi.org/10.1007/s10763-019-09958-3
Hong, J. C., Hwang, M. Y., Lu, C. H., Cheng, C. L., Lee, Y. C., & Lin, C. L. (2009). Playfulness- based design in educational games: A perspective on an evolutionary contest game. Interactive Learning Environments, 17(1), 15-35. https://doi.org/10.1080/10494820701483615
Hong, J. C., Tai, K. H., & Ye, J. H. (2019). Playing a Chinese remote‐associated game: The correlation among flow, self‐efficacy, collective self‐esteem and competitive anxiety. British Journal of Educational Technology, 50(5), 2720-2735. https://doi.org/10.1111/bjet.12721
Hong, J. C., Tai, K. H., Low, W. L., Sher, Y. J, & Kao, Y. W. (2022). Comparing the Taiwanese learning effects of Shaking-On and Kahoot! Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12655
Hong, J.-C., Lin, M.-P., Hwang, M.-Y., Tai, K.-H., & Kuo, Y.-C. (2015). Comparing animated and static modes in educational gameplay on user interest, performance and gameplay anxiety. Computers & Education, 88, 109-118. https://doi.org/10.1016/j.compedu.2015.04.018
Huang, X., Zhang, J., & Hudson, L. (2019). Impact of math self-efficacy, math anxiety, and growth mindset on math and science career interest for middle school students: The gender moderating effect. European Journal of Psychology of Education, 34, 621-640. https://doi.org/10.1007/s10212-018-0403-z
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Järvelä, S., Malmberg, J., & Koivuniemi, M. (2016). Recognizing socially shared regulation by using temporal sequences of online chat and logs in CSCL. Learning and Instruction, 42, 1–11. http://dx.doi.org/10.1016/j.learninstruc.2015.10.006
Johnson, D. W., & Johnson, R. T. (1999). Learning together and alone. Cooperative, competitive and individualistic learning (5th ed.). Allyn & Bacon.
Kacmaz, G., & Dub´e, A.K. (2022). Examining pedagogical approaches and types of mathematics knowledge in educational games: A meta-analysis and critical review. Educational Research Review, 35, 100428. https://doi.org/10.1016/j.edurev.2021.100428
Kafai, Y. B. (1996). Gender differences in children’s constructions of video games. Interacting with video, 11, 39-66.
Klisanin, D. (2011). Is the Internet giving rise to new forms of altruism. Media Psychology Review, 3(1), 1-11.
Koivuniemi, M., Järvenoja, H., & Järvelä, S. (2018). Teacher education students' strategic activities in challenging collaborative learning situations. Learning, Culture and Social Interaction, 19, 109–123. https://doi.org/10.1016/j.lcsi.2018.05.002
Kong, S. C., Lai, M., & Sun, D. (2020). Teacher development in computational thinking: Design and learning outcomes of programming concepts, practices and pedagogy. Computers & Education, 151, 103872. https://doi.org/10.1016/j.compedu.2020.103872
Lazarus, R., & Lazarus, B. (1994). Passion and reason. Making sense of our emotions. Oxford University Press.
Leppink, J., & van den Heuvel, A. (2015). The evolution of cognitive load theory theory and its application to medical education. Perspectives on Medical Education, 4, 119–127. https://doi.org/10.1007/s40037-015-0192-x
Liedtka, J. M. (1998a). Linking strategic thinking with strategic planning. Strategy & Leadership, 26(4), 30–35.
Liedtka, J. M. (1998b). Strategic thinking: can it be taught?. Long Range Planning, 31(1), 120-129. https://doi.org/10.1016/S0024-6301(97)00098-8
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22, 1-55.
Linkow, P. (1999). What gifted strategic thinkers do? Training and Development, 53(7), 34–37.
Luoma, J., & Martela, F. (2021). A dual-processing view of three cognitive strategies in strategic decision making: Intuition, analytic reasoning, and reframing. Long Range Planning, 54, 102065. https://doi.org/10.1016/j.lrp.2020.102065
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210. https://doi.org/10.1207/s15327906mbr3202_5
Malmberg, J., Järvelä, S., & Kirschner, P. (2014). Elementary school students’ strategic learning: Does task-type matter? Metacognition Learning, 9, 113–136. https://doi.org/10.1007/s11409-013-9108-5
Malone, T. W., & Lepper, M. R. (2021). Making learning fun: A taxonomy of intrinsic motivations for learning. Aptitude, learning, and instruction (pp. 223-254). Routledge.
Mariam, S., Khawaja, K. F., Qaisar, M. N., & Ahmad, F. (2023). Blended learning sustainability in business schools: Role of quality of online teaching and immersive learning experience. The International Journal of Management Education, 21(2), 100776.
Maslow, A. H. (1962). Lessons from the peak-experiences. Journal of Humanistic Psychology, 2(1), 9-18. https://doi.org/10.1177/002216786200200102
Massimini, F. & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 266-287). Cambridge University Press. https://doi.org/10.1017/CBO9780511621956.016
Mayer, R. E. (1996). Learning strategies for making sense out of expository text: The SOI model for guiding three cognitive processes in knowledge construction. Educational Psychology Review, 8(4), 357-371. https://doi.org/10.1007/BF01463939
Mayer, R. E. (Ed.). (2005). The cambridge handbook of multimedia learning. Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.002
Mayer, R. E., & Estrella, G. (2014). Benefits of emotional design in multimedia instruction. Learning and Instruction, 33, 12-18. https://doi.org/10.1016/j.learninstruc.2014.02.004
Mayer, R.E. (1997). Multimedia learning: are we asking the right questions? Educational Psychologist, 32, 1-19. https://doi.org/10.1207/s15326985ep3201_1
Merriam-Webster. (2014). Altruism. Retrieved from http://www.merriamwebster.com/dictionary/altruism
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81. https://doi.org/10.1037/h0043158
Mintzberg, H. (1994). The fall and rise of strategic planning. Harvard Business review, 72(1), 107-114.
Mintzberg, H., Raisinghani, D., & Théorêt, A. (1976). The structure of ‘unstructured’ decision processes. Administrative Science Quarterly, 21(2), 246–275. https://doi.org/10.2307/2392045
Monroe, K. R. (1996). The heart of altruism: Perceptions of a common humanity. Princeton University Press.
Moreno, R. (2006). Does the modality principle hold for different media? A test of the method-affects-learning hypothesis. Journal of Computer Assisted Learning, 22, 149-158. https://doi.org/10.1111/j.1365-2729.2006.00170.x
Müller, F. A., & Wulf, T. (2020). Flow experience in blended learning: behind the inconsistent effects of flexibility and interaction. In Academy of Management Proceedings (Vol. 2020, No. 1, p. 14416). Briarcliff Manor, NY 10510: Academy of Management.
Myers, I. B., & Myers, P. B. (2010). Gifts differing: Understanding personality
type. Davies-Black Publishing.
Nagel, T. (1978). The possibility of altruism. Princeton University Press.
Nam, N., T. & Ngoc, V., H. (2022). The importance of using games in EFL classrooms. IOSR Journal of Humanities and Social Science (IOSR-JHSS), 27(8), 17-23. https://doi.org/10.9790/0837-2708011723
Naqvi AA, Hassali MA, Rizvi M, Zehra A, Iffat W, Haseeb A & Jamshed S. (2018). Development and Validation of a Novel General Medication Adherence Scale (GMAS) for Chronic Illness Patients in Pakistan. Frontiers in Pharmacology. 9:1124. https://doi.org/10.3389/fphar.2018.01124
Paas, F. G., Van Merriënboer, J. J., & Adam, J. J. (1994). Measurement of cognitive load in instructional research. Perceptual and Motor Skills, 79(1), 419-430. https://doi.org/10.2466/pms.1994.79.1.419
Paivio, A. (1990). Mental representations: A dual coding approach. Oxford University Press.
Peeters, D., Verschaffel, L., & Luwel, K. (2017). Benchmark-based strategies in whole number line estimation. British Journal of Psychology, 108 (4), 668-686. https://doi.org/10.1111/bjop.12233
Penczynski, S. P. (2016). Strategic thinking: The influence of the game. Journal of Economic Behavior & Organization, 128, 72-84. https://doi.org/10.1016/j.jebo.2016.05.006
Piaget, J. (2013). Play, dreams and imitation in childhood. Routledge. https://doi.org/10.4324/9781315009698
Pintrich, P. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.). Handbook of self-regulation (pp. 451–502). Academic Press. https://doi.org/10.1016/B978-012109890-2/50043-3
Plass, J. L., Heidig, S., Hayward, E. O., Homer, B. D., & Um, E. (2014). Emotional design in multimedia learning: Effects of shape and color on affect and learning. Learning and Instruction, 29, 128-140. https://doi.org/10.1016/j.learninstruc.2013.02.006
Plass, J.L., Homer, B.D., & Kinzer, C.K. (2015). Foundations of game-based learning. Educational Psychology, 50, 258–283. https://doi.org/10.1080/00461520.2015.1122533.
Pociask, F. D., & Morrison, G. R. (2008). Controlling split attention and redundancy in physical therapy instruction. Educational Technology Research and Development, 56(4), 379–399. https://doi.org/10.1007/s11423-007-9062-5
Post, S. G., Underwood, L. G., Schloss, J. P., & Hurlbut, W. B. (2002). General introduction. In S. G. Post, L. G. Underwood, J. P. Schloss, & W. B. Hurlbut (Eds.), Altruism and altruistic love: Science, philosophy, and religion in dialogue (pp. 3-12). Oxford University. https://doi.org/10.1093/acprof:oso/9780195143584.003.0001
Ramirez, G., Chang, H., Maloney, E. A., Levine, S. C., & Beilock, S. L. (2016). On the relationship between math anxiety and math achievement in early elementary school: The role of problem-solving strategies. Journal of Experimental Child Psychology, 141, 83-100. https://doi.org/10.1016/j.jecp.2015.07.014
Reagan-Circincione, P., Schuman, S., Richardson, G. P., & Dorf, S. A. (1991). Decision modeling: Tools for strategic thinking. Interfaces, 21(6), 52–66. https://doi.org/10.1287/inte.21.6.52
Roick, J., & Ringeisen, T. (2018). Students' math performance in higher education: Examining the role of self-regulated learning and self-efficacy. Learning and Individual Differences, 65, 148-158. https://doi.org/10.1016/j.lindif.2018.05.018
Roth, W., Lee, Y., & Hsu, P. (2009). A tool for changing the world: Possibilities of cultural-historical activity theory to reinvigorate science education. Studies in Science Education, 45(2), 131-167. https://doi.org/10.1080/03057260903142269
Rozgonjuk, D., Kraav, T., Mikkor, K., Orav-Puurand, K., & Täht, K. (2020). Mathematics anxiety among STEM and social sciences students: The roles of mathematics self-efficacy, and deep and surface approach to learning. International Journal of STEM Education, 7(1), 1-11.
https://doi.org/10.1186/s40594-020-00246-z
Ruiz, C., Kohnen, S., & Bull, R. (2023). Number line estimation patterns and their relationship with mathematical performance. Journal of Numerical Cognition. https://doi.org/10.5964/jnc.10557
Saab, N. (2012). Team regulation, regulation of social activities or co-regulation: Different labels for effective regulation of learning in CSCL. Metacognition and Learning, 7(1), 1-6. https://doi.org/10.1007/s11409-011-9085-5
Schneider, S., Beege, M., Nebel, S., Schnaubert, L., & Rey, G. D. (2022). The cognitive-affective-social theory of learning in digital environments (CASTLE). Educational Psychology Review, 34, 1–38. https://doi.org/10.1007/s10648-021-09626-5
Schwartz, S. H., & Bilsky, W. (1990). Toward a theory of the universal content and structure of values: Extensions and cross-cultural replications. Journal of Personality and Social Psychology, 58(5), 878-891. https://doi.org/10.1037/0022-3514.58.5.878
Silva, L., & Mousavidin, E. (2015). Strategic thinking in virtual worlds: Studying world of warcraft. Computers in Human Behavior, 46, 168–180. https://doi.org/10.1016/j.chb.2014.12.047
Sinclair, M., & Ashkanasy, N. M. (2005). Intuition: Myth or a decision-making tool?. Management Learning, 36(3), 353-370.
Sober, E. (2002). The ABCs of altruism. In S. G. Post, L. G. Underwood, J. P. Schloss, & W. B. Hurlbut (Eds.), Altruism and altruistic love: Science, philosophy, and religion in dialogue (pp. 17-28). Oxford University. https://doi.org/10.1093/acprof:oso/9780195143584.003.0003
Stanovich, K.E., & Toplak, M.E. (2019). The need for intellectual diversity in psychological science: Our own studies of actively open-minded thinking as a case study. Cognition, 187, 156–166. https://doi.org/10.1016/j.cognition.2019.03.006
Stumpf, S. A. (1989). Work experiences that stretch managers’ capacities for strategic thinking. Journal of Management Development, 8, 31–40. https://doi.org/10.1108/EUM0000000001360
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285. https://doi.org/10.1207/s15516709cog1202_4
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312. https://doi.org/10.1016/0959-4752(94)90003-5
Sweller, J. (2007). Evolutionary biology and educational psychology. In J.S. Carlson & J.R. Levin (Eds). Educating the evolved mind: Conceptual foundations for an evolutionary educational psychology (pp. 165-175). Information Age Publishing.
Sweller, J. (2010a). Cognitive load theory: Recent theoretical advances. In J. L. Plass, R. Moreno, & R. Brünken (Eds.), Cognitive load theory (pp. 29–47). Cambridge University Press. https://doi.org/10.1017/CBO9780511844744.004
Sweller, J. (2010b). Element interactivity and intrinsic, extraneous, and germane cognitive load. Educational Psychology Review, 22(2), 123-138. https://doi.org/10.1007/s10648-010-9128-5
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer.
Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-296.
Tabbakh, T., & Freeland-Graves, J. (2016). Development and validation of the multidimensional home environment scale (MHES) for adolescents and their mothers. Eating Behaviors, 22, 76-82. https://doi.org/10.1016/j.eatbeh.2016.03.031
Uffen, I., de Vries, S., Goei, S.L., van Veen, K., & Verhoef, N. (2022). Understanding teacher learning in lesson study through a cultural-historical activity theory lens. Teaching and Teacher Education, 119, 103831. https://doi.org/10.1016/j.tate.2022.103831
Um, E., Plass, J. L., Hayward, E. O., & Homer, B. D. (2012). Emotional design in multimedia learning. 22 Journal of Educational Psychology, 104(2), 485-498. https://doi.org/10.1037/a0026609
Valdez, A., Trujillo, K., & Wiburg, K. (2013). Math snacks: Using animations and games to fill the gaps in mathematics. Journal of Curriculum and Teaching, 2(2), 154–161. https://doi.org/10.5430/jct.v2n2p154
Vasile, C., Marhan, A. M., Singer, F. M., & Stoicescu, D. (2011). Academic self-efficacy and cognitive load in students. Procedia-Social and Behavioral Sciences, 12, 478-482. https://doi.org/10.1016/j.sbspro.2011.02.059
Wang, S. Y., Chang, S. C., Hwang, G. J., & Chen, P. Y. (2018). A microworld-based role-playing game development approach to engaging students in interactive, enjoyable, and effective mathematics learning. Interactive Learning Environments, 26(3), 411-423. https://doi.org/10.1080/10494820.2017.1337038
Wang, Y. L., Liang, J. C., Lin, C. Y., & Tsai, C. C. (2017). Identifying Taiwanese junior-high school students' mathematics learning profiles and their roles in mathematics learning self-efficacy and academic performance. Learning and Individual Differences, 54, 92-101. https://doi.org/10.1016/j.lindif.2017.01.008
Weston, R., & Gore Jr, P. A. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34(5), 719-751. https://doi.org/10.1177/0011000006286345
Whittemore, I. C. (1924). The influence of competition on performance: An experimental study. The Journal of Abnormal Psychology and Social Psychology, 19(3), 236–253. https://doi.org/10.1037/h0063946
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
Xing, C., Zax, A., George, E., Taggart, J., Bass, I., & Barth, H. (2021). Numerical estimation strategies are correlated with math ability in school-aged children. Cognitive Development, 60, 101089.
Yang, J. C., & Quadir, B. (2018). Individual differences in an English learning achievement system: Gaming flow experience, gender differences and learning motivation. Technology, Pedagogy and Education, 27(3), 351-366. https://doi.org/10.1080/1475939X.2018.1460618
Yap, T. F., Epps, J., Ambikairajah, E., & Choi, E. H. (2015). Voice source under cognitive load: Effects and classification. Speech Communication, 72, 74-95. https://doi.org/10.1016/j.specom.2015.05.007
Yun, R. J., Krystal, J. H., & Mathalon, D. H. (2010). Working memory overload: fronto-limbic interactions and effects on subsequent working memory function. Brain Iaging and Bhavior, 4(1), 96-108. https://doi.org/10.1007/s11682-010-9089-9
Yilmaz, R. (2016). Knowledge sharing behaviors in e-learning community: Exploring the role ofacademic self-efficacy and sense of community. Computers in Human Behavior, 63, 373-382. https://doi:10.1016/j.chb.2016.05.055
Zappala, D. A., Pluchino, A., & Rapisarda, A. (2014). Selective altruism in collective games. Physica A: Statistical Mechanics and its Applications, 410, 496-512. https://doi.org/10.1016/j.physa.2014.05.032
Zhang, Z. (2003). Mutualism or cooperation among competitors promotes coexistence and competitive ability. Ecological Modelling, 164(2-3),71-282. https://doi.org/10.1016/S0304-3800(03)00069-3