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This study explores using a guided note-taking strategy to address the issue of low listening skills among students. The primary aim is to evaluate the effectiveness of this strategy in strengthening listening skills. Conducted as qualitative research using a descriptive method, the study involved a school principal, classroom teachers, and three fourth-grade students as informants. Data collection techniques included interviews and document analysis. The study identifies several factors contributing to students' low listening skills, including limited concentration, insufficient understanding, weak memory retention, low motivation, and hearing impairments. Teachers sought to address these challenges by implementing the guided note-taking strategy. The findings suggest that this approach fosters improved listening skills through structured, easily applied steps.

University students are increasingly taking a digital approach to notetaking in lectures, influenced by technological developments, environmental sustainability, and the Covid-19 pandemic. This research aims to understand the ways in which students currently make digital notes and identify barriers to digital notetaking from a student perspective. Data were collected between January and May 2022 through a questionnaire (n = 123) and four focus groups (n = 17), including both undergraduate and postgraduate students representing a wide range of degree subjects. We find that students' decisions about when and how to take digital notes are multi-faceted and change over time, responding to three interrelated aspects of the university learning environment: (1) perceived social pressure, (2) lecture content, delivery, and future assessment, and (3) affordances of digital technologies. We argue that this has implications for supporting students' notetaking skills development, especially at the transition to university, as well as for lecturers' pedagogical decisions around uses of technology in both live and recorded lectures. A nuanced approach to the 'digital divide' must consider equality of access to digital technologies that meet students' multiple academic needs, as well as supporting students' agency in finding their own solutions.

Many students use laptops to take notes in classes, but does using them impact later test performance? In a high-profile investigation comparing note-taking writing on paper versus typing on a laptop keyboard, Mueller and Oppenheimer (Psychological Science, 25, 1159—1168, 2014) concluded that taking notes by longhand is superior. We conducted a direct replication of Mueller and Oppenheimer (2014) and extended their work by including groups who took notes using eWriters and who did not take notes. Some trends suggested longhand superiority; however, performance did not consistently differ between any groups (experiments 1 and 2), including a group who did not take notes (experiment 2). Group differences were further decreased after students studied their notes (experiment 2). A meta-analysis (combining direct replications) of test performance revealed small (nonsignificant) effects favoring longhand. Based on the present outcomes and other available evidence, concluding which method is superior for improving the functions of note-taking seems premature.

This study explores digital and paper reading processes and outcomes for 371 fifth to eighth graders completing a reading task similar to standardized testing. Results showed students highlighted and annotated more when reading the paper versus digital text. Also, reading on paper versus digitally was slightly supportive of reading comprehension for the longer section of text. For behaviors, digital highlighting and looking back at the paper text were supportive of reading comprehension, whereas paper highlighting was negatively related, likely because paper highlighting tended to occur often outside of important areas of the text. Paper and digital annotating, online dictionary use, and digital look-back did not link to comprehension, when controlling for other covariates. Links to theory, research, and practice are discussed.

Laptop computers allow students to type lecture notes instead of relying on the traditional longhand (i.e. paper–pencil) method. The present research compared laptop and longhand note-taking methods by investigating how the quality (i.e. complete versus incomplete idea units) and quantity (i.e. total words and total idea units) of typed and handwritten notes differed when students did or did not reply to text messages during a simulated lecture. Accounting for the presence of text messaging while participants took notes situated the present study within the reality facing many students in today’s digital age. Findings indicated that a considerable proportion of the idea units captured in participants’ notes were incomplete, regardless of note-taking method or exposure to distraction during the simulated lecture. However, only the total number of complete idea units stored in student notes meaningfully predicted lecture learning. Furthermore, the presence of digital distraction was particularly disruptive to the quality and quantity of laptop users’ lecture notes relative to longhand note takers. Finally, digital distraction emerged as a more meaningful predictor of lecture learning than note-taking method. Recommendations for improving the quality of student lecture notes are discussed and avenues for future research into note-taking completeness and the interplay between digital distraction and note-taking method are proposed.

There has been a shift in college classrooms from students recording lecture notes using a longhand pencil-paper medium to using laptops. The present study investigated whether note-taking medium (laptop, longhand) influenced note taking and achievement when notes were recorded but not reviewed (note taking's process function) and when notes were recorded and reviewed (note taking's product function). One unique aspect of the study was determining how laptop and longhand note taking influence the recording of lecture images in notes and image-related achievement. Note-taking results showed that laptop note takers recorded more notes (idea units and words) and more verbatim lecture strings than did longhand note takers who, in turn, recorded more visual notes (signals and images) than did laptop note takers. Achievement results showed that when taking laptop notes, the process function of note taking was more beneficial than the product function of note taking (i.e., better image-related learning and similar text-related learning). When taking longhand notes, the product function of note taking was more beneficial than the process function of note taking (i.e., better text-related learning and similar image-related learning). Achievement findings suggest that the optimal note-taking medium depends on the nature of the lecture and whether notes are reviewed.

Many college students prefer to type their lecture notes rather than write them by hand. As a result, the number of experimental and quasi-experimental studies comparing these two note-taking mediums has flourished over the past decade. The present meta-analytic research sought to uncover trends in the existing studies comparing achievement and note-taking outcomes among college students. Results from 24 separate studies across 21 articles revealed that taking and reviewing handwritten notes leads to higher achievement (Hedges’ g = 0.248; p < 0.001), even though typing notes benefits note-taking volume (Hedges’ g = 0.919; p < 0.001), among college students. Furthermore, our binomial effect size display shows that taking handwritten lecture notes is expected to produce higher course grades than typing notes among college students. We conclude that handwritten notes are more useful for studying and committing to memory than typed notes, ultimately contributing to higher achievement for college students.

There has been increasing interest in the effects of note taking in second language (L2) research. However, no meta-analysis has been conducted to examine the relationship between note taking and learning through exposure to L2 input. We retrieved 28 effect sizes from 21 studies (N = 1992) to explore the overall effects of note taking as well as to examine the extent to which the effectiveness of note taking is likely to vary as a function of a set of potential moderators (i.e., learner variables, treatment variables, note-taking features, learning target, and measurement type). Results revealed that note taking had a small to medium positive overall effect on learning through exposure to L2 input (g = 0.56, 95% CI: 0.24–0.88). Subsequent moderator analyses revealed that variability in the size of note-taking effects across studies was explained by learner variables (context, region, orthographic scripts, institutional level), treatment variables (mode of input, material type), note-taking features (note-taking behavior, number of note-taking sessions, provision and type of note-taking strategy instruction, total length of instruction, opportunity to review notes), learning target, and measurement type. Based on the obtained findings, teachers are recommended to incorporate note taking in L2 classrooms. Pedagogical suggestions and directions for future research are also provided.

Academic lectures are among the primary resources of knowledge for higher education students, which makes notetaking a requirement during lectures. The ability to take good notes and the quality of notes taken during lectures are associated with academic achievement; therefore, notetaking instruction is an important aspect of EAP courses. To this end, the present study aims at offering a genre-based instruction framework for notetaking instruction. In accordance with this purpose, eight interdisciplinary lectures were analysed. First, rhetorical functions were identified using the framework developed by . Then, metadiscursive elements signalling the organisational structure were identified using the metadiscourse frameworks developed by and . Major findings indicate a relationship between rhetorical functions and metadiscursive elements. Namely, certain metadiscourse items can signal the use of certain rhetorical functions. Thus, the GBI framework for notetaking was structured focusing on the associations that can be established between the rhetorical functions and metadiscursive elements.

The goal of this study was to use eye-tracking and log-file data to investigate the impact of prior knowledge on college students’ (N  = 194, with a subset of n  = 30 for eye tracking and sequence mining analyses) fixations on (i.e., looking at) self-regulated learning-related areas of interest (i.e., specific locations on the interface) and on the sequences of engaging in cognitive and metacognitive self-regulated learning processes during learning with MetaTutor, an Intelligent Tutoring System that teaches students about the human circulatory system. Results revealed that there were no significant differences in fixations on single areas of interest by the prior knowledge group students were assigned to; however there were significant differences in fixations on pairs of areas of interest, as evidenced by eye-tracking data. Furthermore, there were significant differences in sequential patterns of engaging in cognitive and metacognitive self-regulated learning processes by students’ prior knowledge group, as evidenced from log-file data. Specifically, students with high prior knowledge engaged in processes containing cognitive strategies and metacognitive strategies whereas students with low prior knowledge did not. These results have implications for designing adaptive intelligent tutoring systems that provide individualized scaffolding and feedback based on individual differences, such as levels of prior knowledge.