Biological evolution stands out as critically important content for K-12 education as it is considered a cornerstone of the biological sciences. Yet, it remains one of the most socially controversial topics related to science education. In this exploratory study, we are seeking to understand the ways elementary preservice teachers (PSTs) use their views of science to justify including or excluding alternative explanations to evolution in the science curriculum. This investigation included 76 PSTs who were enrolled in an elementary science methods course. Data came from an activity designed by the authors entitled “Science in the Public Schools – School Board Scenario.” The scenario proposed that the local school board was considering a motion to alter the science curriculum by introducing creationism and intelligent design (ID) to the unit on biological evolution and the PSTs had to offer their informed recommendations. The two researchers independently read and coded the data using an inductive, constant comparative approach. Findings revealed that 32 would not add creationism or ID, 26 would add both, 9 would add creationism, 6 would add ID, and 3 would only mention them. PSTs came up with diverse explanations for their decision on if to include alternative explanations when teaching evolution. Common rationales emerged within each group and are further explored.

This study aimed to analyze the effect of game-based learning (GBL) through the use of Genially in English as a foreign language (EFL) online instruction. The participants were 61 EFL undergraduate students, who were distributed into an experimental group (32 students), and a control group (29 students). Their ages ranged from 22 to 56 years old, and their English proficiency level was B1, according to the Common European Framework of References (CEFR). The students were enrolled in two pre-intermediate courses that are part of an EFL Teaching program at a private university in southern Ecuador. The courses were delivered in an online remote learning environment due to the COVID-19 pandemic. The study followed a quasi-experimental approach and it took place over a sixteen-week period. The instruments included a diagnostic survey, a pre-test, a post-test, a students’ perceptions survey, and a semi-structured interview. The main findings revealed that Genially games have the potential to enhance EFL learners’ academic performance in online instruction, particularly in aspects related to students’ knowledge of grammar and vocabulary in context. Besides, it was found that according to students’ perceptions, the implementation of games based on their real learning needs increases their motivation, especially when feedback is effectively provided.  

In recent years, significant developments have occurred in AI-based chatbots that have been effectively deployed in the educational field. However, given the novelty of this technology, descriptive analyses remain scarce. Although many review studies have focused on the effectiveness of chatbots, they generally present broad results, and only a few have addressed the impact of this technology on learning outcomes. The present study examines the educational implications of AI chatbots on various learning outcomes through a post hoc analysis conducted in accordance with PRISMA principles. It aims to aggregate and analyze findings from studies that examined the use of chatbots and their impact on specific learning outcomes. A total of 26 studies were selected from a pool of 6,721 published between 2021 and 2024 and indexed in the Scopus and Web of Science databases. Data analysis was conducted using the Newcastle-Ottawa Scale (NOS) for Education. The results revealed that AI-chatbot technology has a positive influence on several learning outcomes, including academic achievement, motivation, self-assessment, engagement in learning, self-efficacy, and language learning, among others. The studies also detailed the methodologies and tools employed in these investigations. The study also offers insights into how intelligent chatbots can be leveraged to enhance various learning outcomes.