The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…

Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…

Used correctly, assessments play a vital role in the success of a course: they provide valuable feedback to students regarding their knowledge gaps, encourage deeper understanding of the material, help students to develop critical thinking, and guide students to accomplish a course's learning goals. They also provide a signal to future employers,…

This study aimed to test three homework models defined in different cultures on Turkish high school students. HLM analyses were conducted on data collected from 1,229 high school students, considering 19 student-level and 7 grade-level variables. The dependent variables of the study were academic achievement and homework completion. The findings…

Prior research indicates that first language (L1) orthography can adversely affect second language (L2) phonological acquisition, yet studies on orthographic interference and pedagogical strategies to mitigate these effects remain sparse. Addressing these research gaps, this study investigates the impact of orthographic interference on L2 German…

Interactive web-based applets have proven effective in teaching statistics. This article presents new implementations of web-based applets primarily targeting a traditional introductory statistics course in two particular areas: (a) using real-time response data to engage students in simulations and (b) generating randomized datasets for…

Collaborative statisticians are instrumental to maintaining the rigor and reproducibility of multidisciplinary projects on which they collaborate. Clear, complete, well-annotated records of data, its revising, analysis, interpretation, and presentation are essential. Many students do not know how to systematically and consistently organize their…

Homework completion and self-regulatory ability have both been extensively studied to examine their impact on learning achievement. Moreover, the reciprocal nature of how these two qualities affect one another is also an area of research. While evidence shows that voluntary completion of assigned homework predicts self-regulation in students, a…

Economics has become increasingly empirical and, alongside this shift, has come more demand for improved transparency and reproducibility in empirical economic research. In this article, we distribute a survey to almost 1500 economics faculty from the top 161 liberal arts colleges with an economics major (according to U.S. News & World Report)…

Background and Context: Considerable numbers of Computer science (CS) undergraduate majors struggle in Theory of Computation (ToC) courses, which strengthen bimodality beliefs of student performance. Reasons for students struggling are assumed to be manifold but substantial ground is based on studies providing singular insights into this matter.…

Assessments play a pivotal role in student performance within higher education courses. in this article the effect of deemphasizing homework assignments and focusing on the course driven project had on undergraduate students' performance is clearly described. Using student grades as data sets, performance is compared over the Fall 2020, Fall 2021,…

This research aims to adapt the Teachers Homework Reasons scale into Turkish and develop the Teachers Homework Feedback Frequency scale. The study involved 475 primary, secondary, and high school teachers from northeastern Turkey, with an average age of 41.25 years and an equal gender distribution. The sample was divided into two sub-groups: one…

In this article, we discuss Micro Assignment Guided Inquiry and Collaboration (MAGIC), an active learning method that draws on the merits of inquiry-based learning in STEM courses. We describe the use of Micro Assignments (MAs) consisting of a series of short, instructive guiding questions that scaffold the course material. Students work through…

The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…

Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…