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Condon, Lara; Machalow, Rowan; Remillard, Janine; Van Steenbrugge, Hendrik; Krzywacki, Heidi; Koljonen, Tuula – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
We present a typology for characterizing online student-facing mathematics platforms that examines how they position students as learners, exemplified by 9 commonly used platforms. We identify three types of student learning experiences: instruction and practice, practice and support, and conceptual games and activities, and describe each one in…
Descriptors: Mathematics Education, Elementary School Mathematics, Elementary School Students, Electronic Learning
Mbaye, Baba – International Association for Development of the Information Society, 2018
The significant amount of information available on the web has led to difficulties for the learner to find useful information and relevant resources to carry out their training. The recommender systems have achieved significant success in the area of e-commerce, they still have difficulties in formulating relevant recommendations on e-learning…
Descriptors: Information Systems, Electronic Learning, Referral, Information Sources
Gautam, Dipesh; Maharjan, Nabin; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2018
This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…
Descriptors: Speech Acts, Classification, Automation, Synchronous Communication
Mahalingam, Sheila; Abdollah, Faizal Mohd; Sahib, Shahrin – International Association for Development of the Information Society, 2014
The paper focus on learner centric attributes in a m-learning environment encounters the security measurements. In order to build up a systematic threat and countermeasure for protecting the learners as well as providing awareness and satisfaction in utilizing the mobile learning system, a security model need to be overhauled. The brief literature…
Descriptors: Electronic Learning, Computer Security, Reliability, Trust (Psychology)
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Dempsey, John V.; Litchfield, Brenda C. – International Association for Development of the Information Society, 2013
Analysis of learning outcomes can be a complex and esoteric instructional design process that is often ignored by educators and e-learning designers. This paper describes a model of analysis that fosters the real-life application of learning outcomes and explains why the model may be needed. The Elemental Learning taxonomy is a hierarchical model…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Models
Agrawal, Akshay; Venkatraman, Jagadish; Leonard, Shane; Paepcke, Andreas – International Educational Data Mining Society, 2015
In Massive Open Online Courses (MOOCs), struggling learners often seek help by posting questions in discussion forums. Unfortunately, given the large volume of discussion in MOOCs, instructors may overlook these learners' posts, detrimentally impacting the learning process and exacerbating attrition. In this paper, we present YouEDU, an…
Descriptors: Large Group Instruction, Distance Education, Technology Uses in Education, Educational Technology