Cloze items are commonly used for both assessing learning and as a learning activity. This paper investigates the selection of sentences for cloze item creation by comparing methods ranging from simple heuristics to deep learning summarization models. An evaluation using human-generated cloze items from three different science texts indicates that…

Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop accuracy to represent phenomena of interest. Next to a radius that an actor does not exceed for a certain…

Efforts are being made to add Computational Thinking (CT) to the curriculum of primary schools in order to develop student abilities to use computational tools to solve problems and better prepare them for an increasingly digital society. Distributed Practice (DP) and Retrieval Practice (RP) are evidence-based practices that have shown to lead to…

To understand how learner metacognition and goal orientation affect learner problem-solving in a Serious Game (SG) environment, this study examined 12 undergraduate students' metacognition, goal orientations, and problem-solving performances and processes while playing a SG that adopts problem-based learning pedagogy to teach space science.…

Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…

This exploratory post-hoc analysis examined the impact of learners' first language (L1) on learning vocabulary annotated in immersive 360º pictures. This analysis is a part of a larger, between-subjects study (Papin & Kaplan-Rakowski, 2020) in which learners (N=63) of French as a second language (L2) studied vocabulary annotated in (1)…

This conceptual paper attempts to explore the use of Spaced Learning technique as a teaching and learning method. Amidst the rapidly changing technological environment, creating long-term memories is still at the core of education. Spaced Learning is a learning method in which highly condensed learning content is repeated three times, with two…

Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text…

In this study, it was aimed to determine the effects of the Simultaneous Prompting (SP) package jointly with the systematic review and corrective feedback in teaching a student with poor performance in mathematics to recall the multiplication facts. One of the single subject designs, the multiple probes design across behaviors (sets) is used in…

This research study tends to evaluate the efficaciousness and usability of a Vocabulary Learning And Strategy Teaching Web-App (VLASTWA) -- a customised and targeted web-app for (1) teaching the KeyWord Method (KWM) which is a widely investigated vocabulary learning strategy, and (2) facilitating new vocabulary learning via KWM. In this…

In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…

The aim of this study is to examine, in an educational context, the influence of chess training on academic performance (written text comprehension and recall and mathematical problem-solving ability) and on meta-cognitive skills (approach to studying and study strategies availability). A sample of 85 children attending primary school participated…

This paper addresses the question of identifying a concept dependency graph for a MOOC through unsupervised analysis of lecture transcripts. The problem is important: extracting a concept graph is the first step in helping students with varying preparation to understand course material. The problem is challenging: instructors are unaware of the…

Objectives and Theoretical Frame: Previous research has established the role of proactive interference (PI)--when old knowledge interferes with acquiring new knowledge--in forgetting simple experimental materials like lists of words (Wickens, 1972), nonsense syllables (Keppel & Underwood, 1962), and word pairs (Postman & Keppel, 1977).…

This research combines work in memory, retrieval practice, and depth of processing research. This work aims to identify how the format and depth of a retrieval practice item can be manipulated to increase the effort required to successfully recall or formulate an answer, with the hypothesis that if the effort required to answer an item is…