Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…

The article presents an open educational resource (OER) to introduce humanities students to data analysis with Python. The article beings with positioning the OER within wider pedagogical debates in the digital humanities. The OER is built from our research encounters and committed to computational thinking rather than technicalities. Furthermore,…

Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…

Software has become central to every part of modern life and supports everything from managing personal schedules to managing global supply chain systems. In creating new or updating existing software, software developers often need to incorporate new technology. When software developers learn new technology using tutorials, their experience with…

The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…

In the fields of information technology and information systems, faculty must consistently adjust curriculum to meet the demands of the field. However, a challenge they often face is understanding what should be covered, especially given the limited number of courses most universities are able to offer. This research explores the knowledge and…

Faculty in the information systems (IS) and information technology (IT) fields are faced with the challenge to keep their curriculum relevant and current. What was taught two years ago will often be outdated and faculty must constantly update their curriculum on which courses should be taught as well as what should be taught within a particular…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

In this article, Montgomery College discusses the adoption of H5P, a free and open-source content collaboration framework based on JavaScript that was used in substitute paid practice opportunities for students in Spanish 101 and 102. Utilizing a participatory action research model, three faculty and 47 students collaborated to inform the design,…

In the fields of information technology and information systems, faculty must consistently adjust the curriculum to meet the demands of the field. However, a challenge they often face is understanding what should be covered, especially given the limited number of courses most universities are able to offer. This research is a biennial report of…

Artificial Neural Networks (ANN's) are nowadays a common subject in different curricula of graduate and postgraduate studies. Due to the complex algorithms involved and the dynamic nature of ANN's, simulation software has been commonly used to teach this subject. This software has usually been developed specifically for learning purposes, because…