Аналіз відмінностей тем, якості письма та стилістичного контексту в есеях студентів коледжу на основі комп’ютерної програми Linguistic Inquiry and Word Count (LIWC).

Machine methods for automatically analyzing text have been investigated for decades. Yet the availability and usability of these methods for classifying and scoring specialized essays in small samples–as is typical for ordinary coursework–remains unclear. In this paper we analyzed 156 essays submitted by students in a first-year college rhetoric course. Using cognitive and affective measures within Linguistic Inquiry and Word Count (LIWC), we tested whether machine analyses could i) distinguish among essay topics, ii) distinguish between high and low writing quality, and iii) identify differences due to changes in rhetorical context across writing assignments. The results showed positive results for all three tests. We consider ways that LIWC may benefit college instructors in assessing student compositions and in monitoring the effectiveness of the course curriculum. We also consider extensions of machine assessments for instructional applications.Машинні методи автоматичного аналізу тексту та їхні можливості вивчалися впродовж десятиліть. Однак питання доступності та зручності використання цих методів для класифікації та оцінки спеціалізованих есеїв у невеликих зразках, як, наприклад, курсових роботах, залишається досі малодослідженим питанням. У статті проаналізовано 139 есеїв із курсу стилістики, написаних студентами першого курсу. На основі використання когнітивних та афективних категорій програми Linguistic Inquiry and Word Count (LIWC) було перевірено здатність машинного аналізу: а) розмежовувати теми есеїв, б) розрізняти високу та низьку якість письма та в) виявляти відмінності через зміни стилістичного контексту написаних завдань. Дослідження засвідчило позитивні результати для всіх трьох тестових перевірок. Увагу авторів зосереджено на тому, як LIWC може полегшити роботу університетських викладачів під час оцінки ними студентських творів та моніторингу ефективності навчальної програми курсу. Крім того, у статті розглянуто питання перспектив машинного оцінювання викладацьких застосунків

Levels of inquiry: Hierarchies of pedagogical practices and inquiry processes

Provides pedagogical insight concerning the skill of inquiry The resource being annotated is: http://www.dlese.org/dds/catalog_COSEE-1808.htm

Developing Meaningful Student-Teacher-Scientist Partnerships

This article describes the Earth System Scientist Network, in which students and teachers participate in research projects with scientists. In these projects the scientists can take advantage of having an extended research team, and the students and teachers can contribute to a research project while developing skills in inquiry and expanding content knowledge in Earth system science. Several issues must be addressed in order to facilitate these partnerships: identifying the scientific research questions, the data that the students will analyze, the requirements for participating schools, and the tools and protocols that the students and teachers will use during their research. Other logistical issues must also be addressed, such as assuring that instruments and tools are available to the teachers and students, providing the background information and training they will need, providing additional research questions that can help spark students' interest, and recognizing students and teachers for their contributions. Educational levels: Graduate or professional

Internal and external scripts in computer-supported collaborative inquiry learning

We investigated how differently structured external scripts interact with learners’ internal scripts concerning individual knowledge acquisition in a Web-based collaborative inquiry learning environment. 90 students from two secondary schools participated. Two versions of an external collaboration script (high vs. low structured) supporting collaborative argumentation were embedded within a Web-based collaborative inquiry learning environment. Students’ internal scripts were classified as either high or low structured, establishing a 2x2-factorial design. Results suggest that the high structured external collaboration script supported the acquisition of domain-general knowledge of all learners regardless of their internal scripts. Learners’ internal scripts influenced the acquisition of domain-specific knowledge. Results are discussed concerning their theoretical relevance and practical implications for Web-based inquiry learning with collaboration scripts

A Scientist's Guide to Achieving Broader Impacts through K-12 STEM Collaboration.

The National Science Foundation and other funding agencies are increasingly requiring broader impacts in grant applications to encourage US scientists to contribute to science education and society. Concurrently, national science education standards are using more inquiry-based learning (IBL) to increase students' capacity for abstract, conceptual thinking applicable to real-world problems. Scientists are particularly well suited to engage in broader impacts via science inquiry outreach, because scientific research is inherently an inquiry-based process. We provide a practical guide to help scientists overcome obstacles that inhibit their engagement in K-12 IBL outreach and to attain the accrued benefits. Strategies to overcome these challenges include scaling outreach projects to the time available, building collaborations in which scientists' research overlaps with curriculum, employing backward planning to target specific learning objectives, encouraging scientists to share their passion, as well as their expertise with students, and transforming institutional incentives to support scientists engaging in educational outreach

Validating and optimizing the effects of model progression in simulation-based inquiry learning

Model progression denotes the organization of the inquiry learning process in successive phases of increasing complexity. This study investigated the effectiveness of model progression in general, and explored the added value of either broadening or narrowing students’ possibilities to change model progression phases. Results showed that high-school students in the ‘standard’ model progression condition (n = 19), who could enter subsequent phases at will, outperformed students from a control condition (n = 30) without model progression. The unrestricted condition (n = 22) had the additional option of returning to previous phases, whereas the restricted condition (n = 20) disallowed such downward progressions as well as upward progressions in case insufficient knowledge was acquired. Both variants were found to be more effective in terms of performance than the ‘standard’ form of model progression. However, as performance in all three model progression conditions was still rather weak, additional support is needed for students to reach full understanding of the learning content

Closing the Loop: Creating Deliverables That Add Value

As special collections librarians and liaison librarians work together to create in­novative experiences working with primary source material, it is important to remember students have much to offer in the collaborative design process. In this case study, Prudence Doherty, a special collections librarian, and Daniel DeSanto, an instruction librarian, describe a project they initiated and implemented with upper-level education majors at the University of Vermont (UVM). The students were pre-service teachers (student teachers working toward degree and licensure) enrolled in Social Education and Social Studies, a course that focuses on teaching methods, assessment alternatives, and resources used in the elementary (K–4) classroom. The project gave the pre-service teachers an opportunity to work with three digital collections in order to design lesson plans for elementary-aged stu­dents. The project closed the loop of learn, create, and teach by requiring students to learn evaluative approaches to working with historical material and then create lesson plans based on those approaches. By creating professional resources for other teachers, the students added value to the digital collections

Developing Effective K-16 Geoscience Partnerships

This article describes the benefits of research partnerships to scientists, students, and teachers. There is growing awareness that the way science is experienced in the K-16 classroom deviates greatly from the experiences of practicing researchers. Whereas researchers are immersed in more open-ended observation and inquiry, many K-16 students find themselves cramming to memorize core scientific content in preparation for standardized examinations. This issue can be mitigated by the development of partnerships in which scientists benefit by added human resources (teachers and students) for data collection and analysis, and teachers and students benefit from a learning process that fosters creativity, sets high standards, teaches problem solving, and is highly motivating. Educational levels: Graduate or professional

I Cannot Tell a Lie: Emotional Intelligence as a Predictor of Deceptive Behavior

Research has identified that perceived acceptability and likelihood of lying depend on the type of lie and personality characteristics such as honesty, kindness, assertiveness, and Machiavellianism. However, this research has focused on individuals’ experiences of their own emotions and neglected to consider how an individual’s understanding of others and their emotions influences deceptive behavior. I expanded upon this research during the summer of 2018 by investigating the relationship between emotional intelligence, personal intelligence, and perceived acceptability and likelihood of telling four types of lies, which are distinguished from one another based on their motivation (altruistic, conflict avoidance, social acceptance, or self‐gain). Participants were 80 University of New Hampshire undergraduate students who completed an online survey consisting of both self‐report and ability‐based measures. Results suggest that scores on ability‐based tests of personal intelligence may be useful in predicting an individual’s likelihood of telling lies for the purpose of social acceptance. Results also indicate a significant negative correlation between self‐reported likelihood of telling social‐acceptance lies and levels of personal intelligence, indicating that those with higher personal intelligence are less likely to tell social‐acceptance lies