Search (5 results, page 1 of 1)

  • × author_ss:"Heinström, J."
  1. Heinström, J.: Fast surfing, broad scanning and deep diving : the influence of personality and study approach on students' information-seeking behavior (2005) 0.00
    0.002279905 = product of:
      0.00455981 = sum of:
        0.00455981 = product of:
          0.00911962 = sum of:
            0.00911962 = weight(_text_:a in 4400) [ClassicSimilarity], result of:
              0.00911962 = score(doc=4400,freq=18.0), product of:
                0.04772363 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.041389145 = queryNorm
                0.19109234 = fieldWeight in 4400, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4400)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Purpose - To explore information behavior from a psychological perspective by relating information seeking to personality traits and study approaches. Design/methodology/approach - The research design was quantitative and consisted of statistical analysis of three questionnaires, i.e. the NEO Five-Factor Inventory measuring personality, the ASSIST test measuring approaches to studying, and a questionnaire regarding information behavior. A total of 305 university students who were in the process of writing a Master's thesis responded to the questionnaires. Findings - Three information-seeking patterns - fast surfing, broad scanning and deep diving - emerged from the statistical analyses. Fast surfing could be related to a surface study approach and emotionality, as well as to low openness to experience and low conscientiousness. Broad scanning was linked to extraversion, openness, and competitiveness, whereas deep diving was a search pattern typical of analytical students with a deep and strategic study approach. Research limitations/implications - The results are based on descriptions of behaviour, not actual observations. Although the statistical results were significant, generalisable conclusions would have required more convincing figures. Further research is recommended in order to explore the three search styles in other populations and contexts. Originality/value - Information-seeking behaviour has not previously been studied in relation to the five-factor model, which is regarded as the most modern personality theory to date. Understanding of the psychological reasons behind different information-seeking styles is important for a holistic view of information behavior. These insights are valuable for researchers interested in user behavior as well as for practitioners like teachers and information professionals.
    Type
    a
  2. Heinström, J.: Broad exploration or precise specificity : two basic information seeking patterns among students (2006) 0.00
    0.0015046606 = product of:
      0.0030093212 = sum of:
        0.0030093212 = product of:
          0.0060186423 = sum of:
            0.0060186423 = weight(_text_:a in 6004) [ClassicSimilarity], result of:
              0.0060186423 = score(doc=6004,freq=4.0), product of:
                0.04772363 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.041389145 = queryNorm
                0.12611452 = fieldWeight in 6004, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=6004)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This article investigates whether information seeking patterns can be related to discipline differences, study approaches, and personality traits. A quantitative study of 305 master's thesis students' information behavior found that their information seeking tended to be either exploratory or precise. Statistical analyses showed that inner traits seemed more influential than discipline characteristics an information behavior. Exploration or specificity was manifested in terms of both the level and scope of information students wished to retrieve and the way they searched for it.
    Type
    a
  3. Heinström, J.: From fear to flow : personality and information reactions (2010) 0.00
    0.0013163039 = product of:
      0.0026326077 = sum of:
        0.0026326077 = product of:
          0.0052652154 = sum of:
            0.0052652154 = weight(_text_:a in 4126) [ClassicSimilarity], result of:
              0.0052652154 = score(doc=4126,freq=6.0), product of:
                0.04772363 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.041389145 = queryNorm
                0.11032722 = fieldWeight in 4126, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4126)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This book explores how personality traits may influence attitude, behaviour, and reaction to information. In threatening health situations, for instance, calm people with high self-reliance often react by actively seeking out diagnostic information and treatment alternatives, while more anxious persons may become stagnated and depressed and deliberately avoid information. Persistence and conscientiousness often leads to a problem-solving approach to information seeking: structured and organized with a focus on the outcome. Openness to experience again is often related to enjoyment of information exploration, sometimes to the point of experiencing flow, total immersion in the experience. This book will cover personality related information reactions in contexts such as everyday life, decision-making, work, studies and human-computer interaction.This book introduces a little researched area which is current and needed in our Information Age. It combines knowledge from psychology and information studies.
  4. Heinström, J.; Sormunen, E.; Savolainen, R.; Ek, S.: Developing an empirical measure of everyday information mastering (2020) 0.00
    0.0013163039 = product of:
      0.0026326077 = sum of:
        0.0026326077 = product of:
          0.0052652154 = sum of:
            0.0052652154 = weight(_text_:a in 5914) [ClassicSimilarity], result of:
              0.0052652154 = score(doc=5914,freq=6.0), product of:
                0.04772363 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.041389145 = queryNorm
                0.11032722 = fieldWeight in 5914, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5914)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The aim of the study was to develop an empirical measure for everyday information mastering (EIM). EIM describes the ways that individuals, based on their beliefs, attitudes, and expectations, orient themselves to information as a resource of everyday action. The key features of EIM were identified by conceptual analysis focusing on three EIM frameworks. Four modes of EIM-Proactive, Social, Reactive, and Passive-and their 12 constituents were identified. A survey of 39 items was developed in two pilot studies to operationalize the identified modes as measurable EIM constituents. The respondents in the main study were upper secondary school students (n = 412). Exploratory factor analysis (EFA) was applied to validate subscales for each EIM constituent. Seven subscales emerged: Inquiring and Scanning in the Proactive mode, Social media-centered, and Experiential in the Social mode, and Information poor, Overwhelmed, and Blunting in the Passive mode. Two constituents, Serendipitous and Intuitive, were not supported in the EFA. The findings highlight that the core constituents of an individual's everyday information mastering can be operationalized as psychometric scales. The instrument contributes to the systematic empirical study of EIM constituents and their relationships. The study further sheds light on key modes of EIM.
    Type
    a
  5. Sormunen, E.; Tanni, M.; Alamettälä, T.; Heinström, J.: Students' group work strategies in source-based writing assignments (2014) 0.00
    0.0010747575 = product of:
      0.002149515 = sum of:
        0.002149515 = product of:
          0.00429903 = sum of:
            0.00429903 = weight(_text_:a in 1289) [ClassicSimilarity], result of:
              0.00429903 = score(doc=1289,freq=4.0), product of:
                0.04772363 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.041389145 = queryNorm
                0.090081796 = fieldWeight in 1289, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1289)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Source-based writing assignments conducted by groups of students are a common learning task used in information literacy instruction. The fundamental assumption in group assignments is that students' collaboration substantially enhances their learning. The present study focused on the group work strategies adopted by upper secondary school students in source-based writing assignments. Seventeen groups authored Wikipedia or Wikipedia-style articles and were interviewed during and after the assignment. Group work strategies were analyzed in 6 activities: planning, searching, assessing sources, reading, writing, and editing. The students used 2 cooperative strategies: delegation and division of work, and 2 collaborative strategies: pair and group collaboration. Division of work into independently conducted parts was the most popular group work strategy. Also group collaboration, where students worked together to complete an activity, was commonly applied. Division of work was justified by efficiency in completing the project and by ease of control in the fair division of contributions. The motivation behind collaboration was related to quality issues and shared responsibility. We suggest that the present designs of learning tasks lead students to avoid collaboration, increasing the risk of low learning outcomes in information literacy instruction.
    Type
    a