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The purpose of this paper is to describe a thriving partnership between Frostburg State University and the Garrett County Public Schools that aims to improve teacher effectiveness and retention through the implementation of a robust induction program. The initiative includes sustained, strategic mentoring; extensive professional development; and validated, competency-based microcredentials aligned to high-leverage practices.

The study included surveys and structured interviews with teaching fellows and their instructional coaches.

Having ample support and mentoring can make a significant difference for novice teachers. Partnerships between universities and local school districts can provide this critical support.

A limitation that cannot be ignored is the small number of participants in this program, all of whom are teaching in a rural school system. However, researchers working with larger school districts would add valuable knowledge to the field of study.

This paper includes implications for designing new induction programs or improving existing ones.

Mentoring, a major component of high-quality induction programs, has the potential of providing important benefits to beginning teachers including increased motivation, self-confidence, growth in professional identity, and reduced stress and anxiety.

As school systems are struggling to retain qualified teachers, high-quality induction programs are necessary.

The aim of this paper is to explore the importance of individual learner differences and the effect differentiated instruction (DI) has on learners' levels of engagement.

The author carried out this research using a small-scale action research (AR) study.

The findings suggest that in acknowledging and responding to individual learner differences, especially interests, levels of learner engagement are positively affected.

This study’s key limitations were sample size, short-term study and potential teacher as researcher bias.

Recommendations were made for a further longitudinal study into the relationship between DI and language learner levels of engagement at University. An additional study into DI that looksbeyond language learning at HE, could add value to pedagogic approaches, which could make courses of greater intrinsic value to its students.

This research study aims to help fill a gap in the literature on the application of DI, as well as a unique perspective into its effect on learner engagement within a university context.

The present quantitative-descriptive study aims to measure the level of English language learning autonomy of the pre-service teachers.

A short list questionnaire developed by Dixon (2011) was administered to 61 pre-service English teachers enrolled in Western Mindanao State University in order to measure their English language learning autonomy. Differences on the levels of English language learning autonomy across participants’ gender, number of languages spoken and first language were also explored.

Results revealed that participants are highly autonomous in English language learning. Gender, number of languages spoken and first language were found to have no significant influence on English language learning autonomy.

Results on the level of English language learning autonomy indicate that pre-service teachers are highly autonomous and, therefore, ready for lifelong learning. This implies pedagogical and instructional advantages, as they can learn and explore the language independently.

Since gender, number of languages spoken and first language do not significantly influence the level of English language learning autonomy, it is suggested that English teachers do not need to develop differentiated instructions and activities anymore, which will cater the three profile variables in fostering autonomous learning, as participants already exhibit a level of autonomy in English language learning.

This would allow teachers and students to be aware of the importance of autonomy in language learning. Thus, it will prepare them to be independent and lifelong learners, as they engage themselves in the professional world.

As one of the Asia’s developing countries, the Philippines have captured a small number of studies and contributions to autonomous learning in the field of research (Madrunio, Tarrayo, Tupas and Valdez, 2016 as cited in Iñigo, 2018). Specifically, there is no research study conducted that measures “language learning autonomy” in the Philippine’s higher education much to the knowledge of the researcher. Thus, this study will be the first one to determine the level of autonomy of pre-service teachers in English language learning in the Philippine context. Furthermore, the present study also intended to determine significant differences on the level of language learning autonomy of pre-service teachers across genders, number of languages spoken and their first language.

The purpose of this study was to examine the relationship between factors in the extended technology acceptance model (TAM) model and teachers' self-efficacy in remote teaching during the COVID-19 pandemic. In addition, the authors sought to listen to classroom teachers as they expressed their unbiased views of the advantages, disadvantages and challenges of teaching remotely during the COVID-19 pandemic.

A survey was employed to examine the relationship between factors in the extended TAM model and teachers' self-efficacy in remote teaching during the COVID-19 pandemic using the 49-item questionnaire. A multiple regression analysis using a stepwise procedure was used to examine the relationship between factors in the extended TAM model and teachers' self-efficacy. Three open-ended questions closely examined remote teaching during the pandemic, related to challenges, advantages and disadvantages.

Qualitative findings challenges included Internet connection, lack of interaction and communication and challenges with motivation and student engagement. Disadvantages included teachers’ level of self-efficacy in using technology to teach, lack of support and resources to teach online and the struggle to motivate and engage students. Perceived benefits included flexibility for the teacher and differentiation, rich resources and a way to support learners when in-person instruction is not possible.

The data suggest that instead, during COVID-19, many teachers were learning about the platforms simultaneously as they were instructing students.

To ensure quality remote instruction and that students receive the support to make instruction equitable, teachers need to perceive that their instructional technology needs are met to focus on teaching, learning and needs of their students.

Teachers need opportunities to explore the platforms and to experience success in this environment before they are exposed to the high stakes of preparing students to meet K-12 standards.

Instructional delivery has not explored teacher motivational and instructional teaching self-efficacy related to satisfaction with the learning management system (LMS).

This case study sought to investigate the relationship between pre-service teachers’ participation in designing and delivering one-on-one literacy intervention lessons to beginning readers and their own evolving self-efficacy in literacy instruction.

The study was embedded within a 4000-level course in the elementary education major where pre-service teachers learn to administer, analyze and interpret a variety of literacy assessments. Based on the results of these assessments, pre-service teachers designed and implemented literacy lessons (twice a week, 30-min sessions) that addressed the beginning readers' specific instructional needs. Through collecting pre/post data with their first-grade intervention students, and participating in reflective “check-ins” (surveys, a focus group and end-of-course written reflection), a portrait of increased pre-service teacher self-efficacy in literacy instruction comes into focus.

The data showed, primarily through the thematic analysis of qualitative data, that the experience of conducting a one-on-one intervention with a striving reader impacted pre-service teachers’ self-efficacy positively.

The methodology of this study was limited by the small sample size and the low participant response rate on the quantitative survey measure.

This paper highlights one aspect in which clinically-rich field experiences can make a difference in the literacy instruction self-efficacy of pre-service teachers.

This study adds to the support for authentic instructional applications of course content in educator preparation programs, specifically in Professional Development School (partner school system) contexts. The aspect of observing and measuring intervention student progress was one lens through which pre-service teachers viewed their efficacy. Further investigations focusing on other assessment-instruction cycles could provide additional insights.

This article theoretically analyzes how response to intervention (RTI) can be used as a tool in lesson study (LS) to enhance student learning and how RTI can be made more user-friendly by teachers in LS. The focus is on how RTI can be adapted to teachers' daily work by including it in the LS model and how LS can benefit by introducing a scientific approach in analyzing student learning outcomes through RTI. The article also highlights how this approach can contribute to learning for children with special educational needs (SEN).

This theoretical paper describes and compares the characteristics of the LS model with the RTI framework. The comparison highlights the design of models related to teachers’ development and learning outcomes. The benefits and challenges with the models are described. A previous research study related to the models is also briefly reviewed.

There are benefits and challenges with both the RTI and LS models but parts of the models appear to complement one another to some extent. Teachers' professional development and a better control of learning outcomes could be gained by combining the models. This could also lead to educational improvement.

There has been almost no research about a combined LS and RTI model.