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Anwar, Mohd – International Journal of Artificial Intelligence in Education, 2021
Privacy is a rather murky concept, but the absence of privacy is clearly felt in today's digital world. With the significant increase in surveillance power of software and hardware, storage capacity, computing power as well as advancement in data science technologies, the threat to privacy is ever increasing. Within the digital realm, privacy has…
Descriptors: Privacy, Trust (Psychology), Individualized Instruction, Online Courses
Hoppe, H. Ulrich; Doberstein, Dorian; Hecking, Tobias – International Journal of Artificial Intelligence in Education, 2021
Collaborative learning in small groups can enrich and enhance the learning experience in large online courses by facilitating interaction and collaborative knowledge building between peers. on the work reported here addresses scenarios based on asynchronous communication and exchange. As compared to synchronous and face-to-face settings, these…
Descriptors: Group Dynamics, Large Group Instruction, Online Courses, Cooperative Learning
Yazdanian, Ramtin; West, Robert; Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2021
The Fourth Industrial Revolution has considerably sped up the pace of skill changes in many professional domains, with scores of new skills emerging and many old skills moving towards obsolescence. For these domains, identifying the new necessary skills in a timely manner is a difficult task, where existing methods are inadequate. Understanding…
Descriptors: Electronic Learning, Personnel Selection, Computer Software, Computer Mediated Communication
Yan, Hongxin; Lin, Fuhua; Kinshuk – International Journal of Artificial Intelligence in Education, 2021
Online education is growing because of its benefits and advantages that students enjoy. Educational technologies (e.g., learning analytics, student modelling, and intelligent tutoring systems) bring great potential to online education. Many online courses, particularly in self-paced online learning (SPOL), face some inherent barriers such as…
Descriptors: Learning Analytics, Independent Study, Online Courses, Electronic Learning
Fan, Yizhou; Matcha, Wannisa; Uzir, Nora'ayu Ahmad; Wang, Qiong; Gaševic, Dragan – International Journal of Artificial Intelligence in Education, 2021
The importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of…
Descriptors: Learning Analytics, Instructional Design, Independent Study, Multivariate Analysis
Vittorini, Pierpaolo; Menini, Stefano; Tonelli, Sara – International Journal of Artificial Intelligence in Education, 2021
Massive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper…
Descriptors: Artificial Intelligence, Formative Evaluation, Summative Evaluation, Data
Li, Chenglu; Xing, Wanli – International Journal of Artificial Intelligence in Education, 2021
Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…
Descriptors: Natural Language Processing, Online Courses, Computer Mediated Communication, Artificial Intelligence
Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
Alshehri, Mohammad; Alamri, Ahmed; Cristea, Alexandra I.; Stewart, Craig D. – International Journal of Artificial Intelligence in Education, 2021
Since their 'official' emergence in 2012 (Gardner and Brooks 2018), massive open online courses (MOOCs) have been growing rapidly. They offer low-cost education for both students and content providers; however, currently there is a very low level of course purchasing (less than 1% of the total number of enrolled students on a given online course…
Descriptors: Instructional Design, Online Courses, Consumer Economics, Student Behavior
Brooks, Christopher; Quintana, Rebecca M.; Choi, Heeryung; Quintana, Chris; NeCamp, Timothy; Gardner, Joshua – International Journal of Artificial Intelligence in Education, 2021
In this article we describe our experiences building a large-scale data science program aimed at supporting diversity in online data science learning. This program was built to support a set of introductory skills-based, higher education courses. We are motivated by work done in project-based learning contexts and culturally responsive pedagogies…
Descriptors: Introductory Courses, Culturally Relevant Education, Higher Education, Student Projects
Alexandron, Giora; Yoo, Lisa Y.; Ruipérez-Valiente, José A.; Lee, Sunbok; Pritchard, David E. – International Journal of Artificial Intelligence in Education, 2019
The rich data that Massive Open Online Courses (MOOCs) platforms collect on the behavior of millions of users provide a unique opportunity to study human learning and to develop data-driven methods that can address the needs of individual learners. This type of research falls into the emerging field of "learning analytics." However,…
Descriptors: Online Courses, Data Collection, Learning Analytics, Reliability
Vie, Jill-Jênn; Popineau, Fabrice; Bruillard, Éric; Bourda, Yolaine – International Journal of Artificial Intelligence in Education, 2018
In large-scale assessments such as the ones encountered in MOOCs, a lot of usage data is available because of the number of learners involved. Newcomers, that just arrive on a MOOC, have various backgrounds in terms of knowledge, but the platform hardly knows anything about them. Therefore, it is crucial to elicit their knowledge fast, in order to…
Descriptors: Automation, Test Construction, Measurement, Online Courses
Yeomans, Michael; Stewart, Brandon M.; Mavon, Kimia; Kindel, Alex; Tingley, Dustin; Reich, Justin – International Journal of Artificial Intelligence in Education, 2018
Massive open online courses (MOOCs) attract diverse student bodies, and course forums could potentially be an opportunity for students with different political beliefs to engage with one another. We test whether this engagement actually takes place in two politically-themed MOOCs, on education policy and American government. We collect measures of…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Roll, Ido; Russell, Daniel M.; Gaševic, Dragan – International Journal of Artificial Intelligence in Education, 2018
Learning at Scale is a fast growing field that affects formal, informal, and workplace education. Highly interdisciplinary, it builds on solid foundations in the learning sciences, computer science, education, and the social sciences. We define learning at scale as the study of the technologies, pedagogies, analyses, and theories of learning and…
Descriptors: Interdisciplinary Approach, Computer Science Education, Social Sciences, Learning
Uchidiuno, Judith; Koedinger, Ken; Hammer, Jessica; Yarzebinski, Evelyn; Ogan, Amy – International Journal of Artificial Intelligence in Education, 2018
English Language Learners (ELLs) are a substantial portion of the students who enroll in MOOCs. In order to fulfill the promise of MOOCs -- i.e., making higher education accessible to everyone with an internet connection -- appropriate interventions should be offered to students who struggle with the language of course content. Through the…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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