| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A case study of using Alexa for out-of-class, self-directed Japanese language learning
|
Dizon, Gilbert
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|
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3 |
C |
p.
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artikel
|
| 2 |
Accelerating online learning: Machine learning insights into the importance of cumulative experience, independence, and country setting
|
McIntyre, Nora A.
|
|
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3 |
C |
p.
|
artikel
|
| 3 |
A computational investigation of inventive spelling and the “Lesen durch Schreiben” method
|
Born, Jannis
|
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3 |
C |
p.
|
artikel
|
| 4 |
A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach
|
Akour, Iman A.
|
|
|
3 |
C |
p.
|
artikel
|
| 5 |
Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning
|
Yang, Albert C.M.
|
|
|
3 |
C |
p.
|
artikel
|
| 6 |
A flexible feature selection approach for predicting students’ academic performance in online courses
|
Al-Zawqari, Ali
|
|
|
3 |
C |
p.
|
artikel
|
| 7 |
AI-assisted knowledge assessment techniques for adaptive learning environments
|
Sein Minn,
|
|
|
3 |
C |
p.
|
artikel
|
| 8 |
AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis
|
Vidanaralage, Anjana Junius
|
|
|
3 |
C |
p.
|
artikel
|
| 9 |
AI-Induced guidance: Preserving the optimal Zone of Proximal Development
|
Ferguson, Chris
|
|
|
3 |
C |
p.
|
artikel
|
| 10 |
AI & learning: A preferred future
|
Srinivasan, Venkat
|
|
|
3 |
C |
p.
|
artikel
|
| 11 |
A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region
|
Su, Jiahong
|
|
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3 |
C |
p.
|
artikel
|
| 12 |
A personalized learning system-supported professional training model for teachers' TPACK development
|
Chaipidech, Pawat
|
|
|
3 |
C |
p.
|
artikel
|
| 13 |
Appraisal of high-stake examinations during SARS-CoV-2 emergency with responsible and transparent AI: Evidence of fair and detrimental assessment
|
Rayhan, MD.
|
|
|
3 |
C |
p.
|
artikel
|
| 14 |
Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions
|
Su, Jiahong
|
|
|
3 |
C |
p.
|
artikel
|
| 15 |
Artificial intelligence-based robots in education: A systematic review of selected SSCI publications
|
Chu, Shih-Ting
|
|
|
3 |
C |
p.
|
artikel
|
| 16 |
Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation
|
Yang, Weipeng
|
|
|
3 |
C |
p.
|
artikel
|
| 17 |
Artificial intelligence in early childhood education: A scoping review
|
Su, Jiahong
|
|
|
3 |
C |
p.
|
artikel
|
| 18 |
Artificial intelligence literacy in higher and adult education: A scoping literature review
|
Laupichler, Matthias Carl
|
|
|
3 |
C |
p.
|
artikel
|
| 19 |
Assessment in the age of artificial intelligence
|
Swiecki, Zachari
|
|
|
3 |
C |
p.
|
artikel
|
| 20 |
A systematic review of artificial intelligence techniques for collaborative learning over the past two decades
|
Tan, Seng Chee
|
|
|
3 |
C |
p.
|
artikel
|
| 21 |
A systematic review of ontology use in E-Learning recommender system
|
Rahayu, Nur W.
|
|
|
3 |
C |
p.
|
artikel
|
| 22 |
Automatic prediction of presentation style and student engagement from videos
|
Thomas, Chinchu
|
|
|
3 |
C |
p.
|
artikel
|
| 23 |
Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective
|
Hwang, Gwo-Jen
|
|
|
3 |
C |
p.
|
artikel
|
| 24 |
Diversion inference model of learning effectiveness supported by differential evolution strategy
|
Xia, Xiaona
|
|
|
3 |
C |
p.
|
artikel
|
| 25 |
Domain-specific NLP system to support learning path and curriculum design at tech universities
|
Vo, Nhi N.Y.
|
|
|
3 |
C |
p.
|
artikel
|
| 26 |
Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review
|
Dai, Chih-Pu
|
|
|
3 |
C |
p.
|
artikel
|
| 27 |
Educational data journeys: Where are we going, what are we taking and making for AI?
|
Howard, Sarah K.
|
|
|
3 |
C |
p.
|
artikel
|
| 28 |
Empowering educators to be AI-ready
|
Luckin, Rosemary
|
|
|
3 |
C |
p.
|
artikel
|
| 29 |
Enhancement of online education system by using a multi-agent approach
|
Viswanathan, Nethra
|
|
|
3 |
C |
p.
|
artikel
|
| 30 |
Enhancing learning by Open Learner Model (OLM) driven data design
|
Kay, Judy
|
|
|
3 |
C |
p.
|
artikel
|
| 31 |
Erratum regarding missing Declaration of Competing Interest statement in previously published article
|
|
|
|
3 |
C |
p.
|
artikel
|
| 32 |
Erratum regarding missing patient consent statement in previously published article
|
|
|
|
3 |
C |
p.
|
artikel
|
| 33 |
Explainable Artificial Intelligence in education
|
Khosravi, Hassan
|
|
|
3 |
C |
p.
|
artikel
|
| 34 |
Exploring an AI-based writing Assistant's impact on English language learners
|
Gayed, John Maurice
|
|
|
3 |
C |
p.
|
artikel
|
| 35 |
Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study
|
Zamecnik, Andrew
|
|
|
3 |
C |
p.
|
artikel
|
| 36 |
Factors and conditions that affect the goodness of machine learning models for predicting the success of learning
|
Bognár, László
|
|
|
3 |
C |
p.
|
artikel
|
| 37 |
Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education
|
Mertala, Pekka
|
|
|
3 |
C |
p.
|
artikel
|
| 38 |
How can we design for learning in an AI world?
|
Carvalho, Lucila
|
|
|
3 |
C |
p.
|
artikel
|
| 39 |
How students’ self-assessment behavior affects their online learning performance
|
Yang, Albert C.M.
|
|
|
3 |
C |
p.
|
artikel
|
| 40 |
Human and artificial cognition
|
Siemens, George
|
|
|
3 |
C |
p.
|
artikel
|
| 41 |
Knowledge tracing: A bibliometric analysis
|
Liu, Tongxi
|
|
|
3 |
C |
p.
|
artikel
|
| 42 |
Learners’ web navigation behaviour beyond learning management systems: A way into addressing procrastination in online learning?
|
Pogorskiy, Eduard
|
|
|
3 |
C |
p.
|
artikel
|
| 43 |
Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section
|
Dobashi, Konomu
|
|
|
3 |
C |
p.
|
artikel
|
| 44 |
Lower secondary students’ poetry writing with the AI-based Poetry Machine
|
Kangasharju, Arja
|
|
|
3 |
C |
p.
|
artikel
|
| 45 |
Machine learning based feedback on textual student answers in large courses
|
Bernius, Jan Philip
|
|
|
3 |
C |
p.
|
artikel
|
| 46 |
Models for finding quality of affirmation and points of intervention in an academic discussion forum
|
Lalingkar, Aparna
|
|
|
3 |
C |
p.
|
artikel
|
| 47 |
Needs and requirements for an additional AI qualification during dual vocational training: Results from studies of apprentices and teachers
|
Rott, Karin Julia
|
|
|
3 |
C |
p.
|
artikel
|
| 48 |
On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators
|
Yazdanian, Ramtin
|
|
|
3 |
C |
p.
|
artikel
|
| 49 |
Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model
|
Bhutoria, Aditi
|
|
|
3 |
C |
p.
|
artikel
|
| 50 |
Personalized feedback in digital learning environments: Classification framework and literature review
|
Maier, Uwe
|
|
|
3 |
C |
p.
|
artikel
|
| 51 |
Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization
|
Niyogisubizo, Jovial
|
|
|
3 |
C |
p.
|
artikel
|
| 52 |
Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors
|
Hlosta, Martin
|
|
|
3 |
C |
p.
|
artikel
|
| 53 |
Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines
|
Bertolini, Roberto
|
|
|
3 |
C |
p.
|
artikel
|
| 54 |
Real-time prediction of science student learning outcomes using machine learning classification of hemodynamics during virtual reality and online learning sessions
|
Lamb, Richard
|
|
|
3 |
C |
p.
|
artikel
|
| 55 |
Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?
|
Markauskaite, Lina
|
|
|
3 |
C |
p.
|
artikel
|
| 56 |
Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal
|
Yilmaz, Ramazan
|
|
|
3 |
C |
p.
|
artikel
|
| 57 |
Teachers’ readiness and intention to teach artificial intelligence in schools
|
Ayanwale, Musa Adekunle
|
|
|
3 |
C |
p.
|
artikel
|
| 58 |
Temporally-focused analytics of self-regulated learning: A systematic review of literature
|
Saint, John
|
|
|
3 |
C |
p.
|
artikel
|
| 59 |
Temporal pathways to learning: How learning emerges in an open-ended collaborative activity.
|
Nasir, Jauwairia
|
|
|
3 |
C |
p.
|
artikel
|
| 60 |
Temporal tracking and early warning of multi semantic features of learning behavior
|
Xia, Xiaona
|
|
|
3 |
C |
p.
|
artikel
|
| 61 |
The concept of hybrid human-AI regulation: Exemplifying how to support young learners’ self-regulated learning
|
Molenaar, Inge
|
|
|
3 |
C |
p.
|
artikel
|
| 62 |
The development and implementation of a computer adaptive progress test across European countries
|
Rice, Neil
|
|
|
3 |
C |
p.
|
artikel
|
| 63 |
The effectiveness of gamification in programming education: Evidence from a meta-analysis
|
Zhan, Zehui
|
|
|
3 |
C |
p.
|
artikel
|
| 64 |
The role of learners’ competencies in artificial intelligence education
|
Sanusi, Ismaila Temitayo
|
|
|
3 |
C |
p.
|
artikel
|
| 65 |
The use of a personalized learning approach to implementing self-regulated online learning
|
Ingkavara, Thanyaluck
|
|
|
3 |
C |
p.
|
artikel
|
| 66 |
Towards automated content analysis of educational feedback: A multi-language study
|
Osakwe, Ikenna
|
|
|
3 |
C |
p.
|
artikel
|
| 67 |
Using digital story writing as a pedagogy to develop AI literacy among primary students
|
Ng, Davy Tsz Kit
|
|
|
3 |
C |
p.
|
artikel
|
| 68 |
Verifying student identity in oral assessments with deep speaker
|
Renzella, Jake
|
|
|
3 |
C |
p.
|
artikel
|
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