In the modern educational landscape, the integration of gamification into hybrid learning environments has emerged as a promising approach to enhance student outcomes. However, there remains a lack of comprehensive frameworks for designing gamified hybrid courses and validating their impact on student outcomes. This paper proposes a design…

This article introduces an ontology-based framework for group assessment analytics that investigates the impact of intra-group interactions on group performance within the context of project-based collaborative learning (PBCL). Additionally, it aims to predict learners' performance based on these interactions. The study involved 312 first-degree…

Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…

Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…

The study investigated the impact on student engagement and achievement of a "formative thresholded" continuous assessment strategy in which students had to meet a modest threshold, but their continuous assessment marks did not contribute to their final grade. Students were free to choose their own blend of tutor-marked and…

In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. Despite its growing importance, there is a scarcity of research investigating the connections among needs satisfaction, teacher…

At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…

This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…

One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…

In this study, we investigated the impact of collaborative learning practices on the academic success of first generation college (FGC) students in one section of a general chemistry course. We implemented group problem solving and group quizzes during the lecture sessions of General Chemistry 1. Our focus was on understanding how FGC students…

Providing feedback on student work is a key part of the teaching process. Ideally, students use the provided feedback to learn and improve future work. In the age of technology-mediated learning, it is essential to study how technology affects the feedback process. This work uses data captured by a Learning Management System (LMS) to measure…

As hours devoted to human anatomy curricula fall under threat and curricular delivery methods remain in flux, many new teaching innovations are emerging, which require comprehensive evaluation to ensure evidence-based teaching is maintained. Although grades are the predominant measure of 'learning', alternative metrics can assess more nuanced and…

This paper presents a systematic literature review of the coordinated use of Learning Analytics and Computational Ontologies to support educators in the process of academic performance evaluation of students. The aim is to provide a general overview for researchers about the current state of this relationship between Learning Analytics and…

Blended learning pedagogical practices supported by learning management systems have become an important part of higher education curricula. In most cases, these blended curricula are evaluated through multimodal formative assessments. Although assessments can strongly affect student outcomes, research on the topic is limited. In this paper, we…

With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that…