Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…

The purpose of this study is to compare decision trees obtained by data mining algorithms used in various areas in recent years according to different criteria. In the study, similar and different aspects of the decision trees obtained by different methods for classifying the students as successful and unsuccessful in terms of science literacy…

The Future Skills Report about the future of learning and higher Education (Ehlers & Kellermann, 2019) defines a variety of skills in which the active learner plays a central role. Starting from this perspective, our idea is to promote future skills with a digital data-driven study assistant for. As a theoretical foundation research about…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

University students in other disciplines without prior knowledge in statistics and/or programming language are introduced to the statistical method of decision trees in the programming language R during a 45-minute teaching and practice session. Statistics and programming skills are now frequently required within a wide variety of research fields…

This study aims to explore the potential use of sentence tree-structure in English grammar teaching in college. After combining Schema Theory and Lexical Chunk Theory, the writer proposed the sentence tree-structure tool and tried to apply it in one of her grammar classes in college. During the teaching process, students were asked to analyze long…

Deforestation is a global issue. Education has a fundamental role to play in this context. In this regard, the direction and effectiveness of educational practices should focus on the empowerment of students in ecocentric environmental attitudes. A key point in education for environmental sustainability is pedagogical approaches focused on the…

Payments for ecosystem services (PES) programs use an incentive-based approach to pursue environmental goals. While they are common policy tools, key concepts determining their efficacy are nuanced and hard to grasp. This article presents a new interactive game that explores the functioning and implications of PES programs. Participants play the…

Accurately forecasting course enrollment rates in higher education is of great concern in order to minimize unnecessary administrative costs as well as burden to both students and faculty. This research aimed to first recreate course enrollment predictions based on a conditional probability analysis using student data from San Diego State…

The complex trajectories of higher education students are deviations from the regular path due to delays in completing a degree, dropping out, taking breaks, or changing programmes. In this study, we investigated degree changing as a cause of complex student trajectories. We characterised cohorts of students who graduated with a complex trajectory…

Purpose: This paper aims to address the issue of why students want to drop out from a course and suggests appropriate strategies to enhance student retention. Design/methodology/approach: A sample of 260 hospitality management students were surveyed based on both Tinto's model of student-institution integration and a theory of planned behavior on…

We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…

To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…

Effective usage of augmented reality (AR) depends on good integration into the learning environment. Based on a qualitative research approach, this study investigates the effects of using AR technologies in science education to support the effective use of AR. Students' experiences of AR were gathered using a prepared questionnaire form. Within…

The objective of this study was to identify university student profiles with different levels of predisposition and usage of digital competences in social communication and collaborative learning (CSCCL) as well as technology use in information search and treatment (CSTI). The sample comprised 383 students from three state universities in Spain.…