Understanding the implementation of personalized learning: A research synthesis
Tài liệu tham khảo
Abawi, 2015, Inclusion “from the gate in”: Wrapping students with personalised learning support, International Journal of Pedagogies and Learning, 10, 47, 10.1080/22040552.2015.1084676
Abbott
Akinsola, 2009, Effect of personalization of instruction on students' achievement and self-efficacy in mathematics word problems, International Journal of Mathematical Education in Science & Technology, 40, 389, 10.1080/00207390802643169
Alcoholado, 2011, One mouse per child: Interpersonal computer for individual arithmetic practice, Journal of Computer Assisted Learning, 28, 295, 10.1111/j.1365-2729.2011.00438.x
Arroyo, 2014, A multimedia adaptive tutoring system for mathematics that addresses cognition, metacognition and affect, International Journal of Artificial Intelligence in Education, 24, 387, 10.1007/s40593-014-0023-y
Awofala, 2014, Examining personalisation of instruction, attitudes toward and achievement in mathematics word problems among Nigerian senior secondary school students, International Journal of Education in Mathematics, Science and Technology, 2, 273, 10.18404/ijemst.91464
Barnett-Page, 2009, Methods for the synthesis of qualitative research: A critical review, BMC Medical Research Methodology, 9, 59, 10.1186/1471-2288-9-59
Basham, 2020, UDL next: The future of the framework
Basham, 2016, An operationalized understanding of personalized learning, Journal of Special Education Technology, 31, 126, 10.1177/0162643416660835
Basham, 2017, Establishing a student-centered environment to support all learners, 155
Basham
Baxter, 2017, Robot education peers in a situated primary school study: Personalisation promotes child learning, PLoS One, 12, 10.1371/journal.pone.0178126
Beach, 2009, Making “right” choices? An ethnographic account of creativity, performativity and personalised learning policy, concepts and practices, Oxford Review of Education, 35, 689, 10.1080/03054980903122267
Bernacki, 2018, The role of situational interest in personalized learning, Journal of Educational Psychology, 110, 864, 10.1037/edu0000250
Bhattacharjee, 2017, An immersive learning model using evolutionary learning, Computers & Electrical Engineering, 65, 236, 10.1016/j.compeleceng.2017.08.023
Bingham, 2017, Staying on track: Examining teachers' experiences in a personalized learning model, Journal of Ethnographic & Qualitative Research, 12, 75
Bingham, 2016, Ahead of the curve: Implementation challenges in personalized learning school models, Educational Policy, 32, 454, 10.1177/0895904816637688
Brown, 2002, Exploring complex phenomena: Grounded theory in student affairs research, Journal of College Student Development, 43, 173
Çakır, 2010, A comparative analysis of the effects of computer and paper-based personalization on student achievement, Computers & Education, 55, 1524, 10.1016/j.compedu.2010.06.018
Campbell, 2007, Personalised learning: Ambiguities in theory and practice, British Journal of Educational Studies, 55, 135, 10.1111/j.1467-8527.2007.00370.x
CAST, 2018
Chen, 2008, Intelligent web-based learning system with personalized learning path guidance, Computers & Education, 51, 787, 10.1016/j.compedu.2007.08.004
Chen, 2009, Ontology-based concept map for planning a personalised learning path, British Journal of Educational Technology, 40, 1028, 10.1111/j.1467-8535.2008.00892.x
Chen, 2009, Personalized E-learning system with self-regulated learning assisted mechanisms for promoting learning performance, Expert Systems with Applications, 36, 8816, 10.1016/j.eswa.2008.11.026
Chen, 2007, Learning performance assessment approach using web-based learning portfolios for e-learning systems, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 37, 1349, 10.1109/TSMCC.2007.900641
Chen, 2008, Personalized web-based tutoring system based on fuzzy item response theory, Expert Systems with Applications, 34, 2298, 10.1016/j.eswa.2007.03.010
Chen, 2010, Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning, Interactive Learning Environments, 18, 341, 10.1080/10494820802602329
Chen, 2007, Personalized computer-assisted mathematics problem-solving program and its impact on Taiwanese students, Journal of Computers in Mathematics and Science Teaching, 26, 105
Choi, 2015, Realising personalised vocabulary learning in the Hong Kong context via a personalised curriculum featuring “student-selected vocabulary, Language and Education, 29, 62, 10.1080/09500782.2014.942318
Chu, 2010, A two-tier test approach to developing location-aware mobile learning systems for natural science courses, Computers & Education, 55, 1618, 10.1016/j.compedu.2010.07.004
Clinton, 2019, Interest-enhancing approaches to mathematics curriculum design: Illustrations and personalization, The Journal of Educational Research, 112, 495, 10.1080/00220671.2019.1568958
Connor, 2019, Using technology and assessment to personalize instruction: Preventing reading problems, Prevention Science, 20, 89, 10.1007/s11121-017-0842-9
Connor, 2018, Using assessment to individualize early mathematics instruction, Journal of School Psychology, 66, 97, 10.1016/j.jsp.2017.04.005
Cornelisz, 2018, Student engagement with computerized practising: Ability, task value, and difficulty perceptions, Journal of Computer Assisted Learning, 34, 828, 10.1111/jcal.12292
Courcier, 2007, Teachers' perceptions of personalised learning, Evaluation & Research in Education, 20, 59, 10.2167/eri405.0
Delen, 2014, Effects of interactivity and instructional scaffolding on learning: Self-regulation in online video-based environments, Computers & Education, 78, 312, 10.1016/j.compedu.2014.06.018
DeMink-Carthew, 2019, Mixed feelings about choice: Exploring variation in middle school student experiences with making choices in a personalized learning project, RMLE Online, 42, 1, 10.1080/19404476.2019.1693480
DeMink-Carthew, 2017, An analysis of approaches to goal setting in middle grades personalized learning environments, RMLE Online, 40, 1, 10.1080/19404476.2017.1392689
Dixon-Woods, 2006, How can systematic reviews incorporate qualitative research? A critical perspective, Qualitative Research, 6, 27, 10.1177/1468794106058867
Dixon-Woods, 2006, Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups, BMC Medical Research Methodology, 6, 35, 10.1186/1471-2288-6-35
Edmunds, 2014, Using a learning management system to personalise learning for primary school students, Journal of Open, Flexible and Distance Learning, 18, 11, 10.61468/jofdl.v18i1.225
Ertem, 2013, The influence of personalization of online texts on elementary school students' reading comprehension and attitudes toward reading, International Journal of Progressive Education, 9, 218
2015
Flemming, 2010, Synthesis of quantitative and qualitative research: An example using Critical Interpretive Synthesis, Journal of Advanced Nursing, 66, 201, 10.1111/j.1365-2648.2009.05173.x
Hall, 2015, Addressing learning disabilities with UDL and technology: Strategic reader, Learning Disabilities Quarterly, 38, 72, 10.1177/0731948714544375
Hallman, 2018, Personalized learning through 1:1 technology initiatives: Implications for teachers and teaching in neoliberal times, Teaching Education, 30, 299, 10.1080/10476210.2018.1466874
Hammerschmidt-Snidarich, 2019, Leveraging technology: A multi-component personalized system of instruction to teach sight words, Journal of School Psychology, 72, 150, 10.1016/j.jsp.2018.12.005
Hartnell-Young, 2008, A means of personalising learning: Incorporating old and new literacies in the curriculum with mobile phones, Curriculum Journal, 19, 283, 10.1080/09585170802509872
Høgheim, 2015, Supporting interest of middle school students in mathematics through context personalization and example choice, Contemporary Educational Psychology, 42, 17, 10.1016/j.cedpsych.2015.03.006
Hsu, 2013, A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students, Computers & Education, 63, 327, 10.1016/j.compedu.2012.12.004
Hwang, 2010, A heuristic algorithm for planning personalized learning paths for context-aware ubiquitous learning, Computers & Education, 54, 404, 10.1016/j.compedu.2009.08.024
Hwang, 2012, Development of a personalized educational computer game based on students' learning styles, Educational Technology Research & Development, 60, 623, 10.1007/s11423-012-9241-x
Hwang, 2012, A context-aware ubiquitous learning approach to conducting scientific inquiry activities in a science park, Australasian Journal of Educational Technology, 28, 931, 10.14742/ajet.825
Ignatova, 2015, ICT-based learning personalization affordance in the context of implementation of constructionist learning activities, Informatics in Education, 14, 51, 10.15388/infedu.2015.04
Iver, 2011, The challenge of improving urban high school graduation outcomes: Findings from a randomized study of dropout prevention efforts, Journal of Education for Students Placed at Risk, 16, 167, 10.1080/10824669.2011.584497
Johnson, 2002
Jones
Kallio, 2018, Participatory design of classrooms: Infrastructuring education reform in K‐12 personalized learning programs, Journal of Learning Space, 7, 32
Kaminskienė, 2019, Personalisation of learning through digital storytelling, Management, 24, 153, 10.30924/mjcmi.24.1.10
Karmeshu, 2012, Modelling diffusion of a personalized learning framework, Educational Technology Research & Development, 60, 585, 10.1007/s11423-012-9249-2
Katsionis, 2008, Personalised e-learning through an educational virtual reality game using Web services, Multimedia Tools and Applications, 39, 47, 10.1007/s11042-007-0155-2
Keefe, 2008
Keller, 1968, “GOOD-BYE, teacher …”, Journal of Applied Behavior Analysis, 1, 79, 10.1901/jaba.1968.1-79
Kim, 2019, Using a sequential multiple assignment randomized trial (SMART) to develop an adaptive K–2 literacy intervention with personalized print texts and App-based digital activities, AERA Open, 5, 10.1177/2332858419872701
Kucirkova, 2014, Reading personalized books with preschool children enhances their word acquisition, First Language, 34, 227, 10.1177/0142723714534221
Ku, 2007, The effects of individually personalized computer-based instructional program on solving mathematics problems, Computers in Human Behavior, 23, 1195, 10.1016/j.chb.2004.11.017
Kuhn, 1962
Kurilovas, 2015, Recommending suitable learning paths according to learners' preferences: Experimental research results, Computers in Human Behavior, 51, 945, 10.1016/j.chb.2014.10.027
Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 33, 159, 10.2307/2529310
Leyzberg, 2018, The effect of personalization in longer-term tobot tutoring, ACM Transactions on Human-Robot Interaction, 7, 1, 10.1145/3283453
Looi, 2009, Anatomy of a mobilized lesson: Learning my way, Computers & Education, 53, 1120, 10.1016/j.compedu.2009.05.021
Marino, 2014, UDL in the middle school science classroom: Can video games and alternative text heighten engagement and learning for students with learning disabilities?, Learning Disability Quarterly, 37, 87, 10.1177/0731948713503963
Martín-SanJosé, 2014, Flexible learning itinerary vs. linear learning itinerary, Science of Computer Programming, 88, 3, 10.1016/j.scico.2013.12.009
McClure, 2010, Can school structures improve teacher-student relationships? The relationship between advisory programs, personalization and students' academic achievement, Education Policy Analysis Archives, 18, 1, 10.14507/epaa.v18n17.2010
Meyer, 2014
Morisano, 2010, Setting, elaborating, and reflecting on personal goals improves academic performance, Journal of Applied Psychology, 95, 255, 10.1037/a0018478
Mottram, 2009, Diversions and diversity: Does the personalisation agenda offer real opportunities for taking children's home literacies seriously?, English in Education, 43, 98, 10.1111/j.1754-8845.2009.01042.x
Netcoh, 2017, Balancing freedom and limitations: A case study of choice provision in a personalized learning class, Teaching and Teacher Education, 66, 383, 10.1016/j.tate.2017.05.010
Olofson, 2018, An instrument to measure teacher practices to support personalized learning in the middle grades, RMLE Online, 41, 1, 10.1080/19404476.2018.1493858
Patall, 2013, Constructing motivation through choice, interest, and interestingness, Journal of Educational Psychology, 105, 522, 10.1037/a0030307
Peterson
Petticrew, 2006, Vol. 105, 1210
Ramachandran, 2019, Toward effective robot-child tutoring: Internal motivation, behavioral intervention, and learning outcomes, ACM Transactions on Interactive Intelligent Systems, 9, 1, 10.1145/3213768
Redding, 2016, Competencies and personalized learning, 3
Robinson, 2010, Personalising learning through the use of technology, Computers & Education, 54, 767, 10.1016/j.compedu.2009.09.021
Rogers, 2012, Crouching tiger, hidden child, Management in Education, 26, 140, 10.1177/0892020612445686
Rose, 2018
Schmid, 2019, Does the use of educational technology in personalized learning environments correlate with self-reported digital skills and beliefs of secondary-school students?, Computers & Education, 136, 75, 10.1016/j.compedu.2019.03.006
Sebba
Shogren, 2011, Effect of intervention with the self-determined learning model of instruction on access and goal attainment, Remedial and Special Education, 33, 320, 10.1177/0741932511410072
Siddique, 2017, Design adaptive e-learning environment using individual differences, Pakistan Journal of Science, 69, 101
Siddique, 2018, Developing adaptive e-Learning environment using cognitive and noncognitive parameters, Journal of Educational Computing Research, 57, 811, 10.1177/0735633118769433
Şimşek, 2009, Effect of personalization on students' achievement and gender factor in mathematics education, International Journal of Social Science, 4, 278
Song, 2012, Fostering personalized learning in science inquiry supported by mobile technologies, Educational Technology Research & Development, 60, 679, 10.1007/s11423-012-9245-6
Sterling, 1995, Publication decisions revisited: The effect of the outcome of statistical tests on the decision to publish and vice versa, The American Statistician, 49, 108
Su, 2006, Learning portfolio analysis and mining for SCORM compliant environment, Journal of Educational Technology & Society, 9, 262
Tseng, 2008, Development of an adaptive learning system with two sources of personalization information, Computers & Education, 51, 776, 10.1016/j.compedu.2007.08.002
Wagner, 2017, Pre-service teachers' interpretation of CBM progress monitoring data, Learning Disabilities Research & Practice, 32, 22, 10.1111/ldrp.12125
Waldrip, 2014, Student perceptions of personalised learning: Development and validation of a questionnaire with regional secondary students, Learning Environments Research, 17, 355, 10.1007/s10984-014-9163-0
Waldrip, 2016, Validation of a model of personalised learning, Learning Environments Research, 19, 169, 10.1007/s10984-016-9204-y
Walkington, 2013, Using adaptive learning technologies to personalize instruction to student interests: The impact of relevant contexts on performance and learning outcomes, Journal of Educational Psychology, 105, 932, 10.1037/a0031882
Walkington, 2015, Students authoring personalized “algebra stories”: Problem-posing in the context of out-of-school interests, The Journal of Mathematical Behavior, 40, 171, 10.1016/j.jmathb.2015.08.001
Walkington, 2019, Personalizing algebra to students' individual interests in an intelligent tutoring system: Moderators of impact, International Journal of Artificial Intelligence in Education, 29, 58, 10.1007/s40593-018-0168-1
Wang, 2014, Developing an assessment-centered e-Learning system for improving student learning effectiveness, Computers & Education, 73, 189, 10.1016/j.compedu.2013.12.002
Wolpe, 2017, Ethical principles for the use of human cellular biotechnologies, Nature Biotechnology, 35, 1050, 10.1038/nbt.4007
Worthy, 2012, Fostering academic and social growth in a primary literacy workshop classroom, The Elementary School Journal, 112, 568, 10.1086/664491
You, 2019, The feedback of the Chinese Learning Diagnosis System for personalized learning in classrooms, Frontiers in Psychology, 10, 1751, 10.3389/fpsyg.2019.01751
Zhao, 2017, What works may hurt: Side effects in education, Journal of Educational Change, 18, 1, 10.1007/s10833-016-9294-4
Zhao, 2016
Zimmerman, 2008, Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects, American Educational Research Journal, 45, 166, 10.3102/0002831207312909