Computer-assisted assessment with item classification for programming skills

An Adaptive Test Analysis Based on Students' Motivation

“…Besides CAT, other adaptive models are proposed in the literature, such as an adaptive test based on rating or hit rate (Silva and Direne, 2016) or the proposal of Tesseroli et al (2016), which determined the complexity of an item through the concepts it is related with, organized the items in a graph and searched for a heuristic to select the increasing complexity of the items. Another option is the Stratified Adaptive Test (SAT), a term that was first used by Betz and Weiss (1976) and reappeared as a new approach in (González-Sacristán et al, 2013). González-Sacristán et al (2013) proposed a computationally assisted method to improve the quality of the evaluations, increasing the robustness, objectivity, safety and relevance of the content.…”

“…Another option is the Stratified Adaptive Test (SAT), a term that was first used by Betz and Weiss (1976) and reappeared as a new approach in (González-Sacristán et al, 2013). González-Sacristán et al (2013) proposed a computationally assisted method to improve the quality of the evaluations, increasing the robustness, objectivity, safety and relevance of the content. The approach, inspired by CAT, organizes the items into categories ordered by the most basic and fundamental to the most specific and elaborate, which is only relevant after mastering the knowledge of the previous categories.…”

“…In contrast to the IRT-based CAT, which in this work will be called CAT only, there is the stratified adaptive methodology (González-Sacristán et al, 2013), which in this work will be called SAT. Although not based on the IRT, SAT aims to improve the quality of the assessment, to have greater robustness, safety and relevance of the presented questions, besides being easy to implement and to apply in the daily context of a classroom.…”

“…Thus, this work presents a case study of a question selection method (González-Sacristán et al, 2013), compared to CAT, using seven classes of the Computer Networks course, in 11 experiments. For this, we used ATES, a system developed for this research, which collected data on student's motivation, through the Questionnaire on Current Motivation (Vollmeyer and Rheinberg, 2006).…”

A Granularity-Based Intelligent Tutoring System for Zooarchaeology

“…The use of technology opens new frontiers in learning and improves data mining from different sources in order to improve students' learning processes [1]. One of the biggest challenges of including communication technologies in learning is the way in which interaction between teachers and students is simulated by automatic methods [2,3]. In this context, tutoring and the possibility of turning an automatic system into an effective instrument for counseling students are stirring a great amount of interest in many areas [4,5].…”